2024

• Annie S. Wu, Eashan Singh, Ivy Zhang, Anika Bilal, Anna Casu, and Richard Pratley (2024). Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients. To appear in the Proceedings of theFlorida Artificial Intelligence Research Society (FLAIRS) Conference, May 19-21, 2024, Miramar Beach, FL. [pdf]

• Andre Kuroswiski, Angelo Passaro, and Annie S. Wu (2024). Attention-driven multi-agent reinforcement learning: Enhancing decisions with expertise-informed tasks. To appear in the Proceedings of theFlorida Artificial Intelligence Research Society (FLAIRS) Conference, May 19-21, 2024, Miramar Beach, FL.

• Maryam Kebari and Annie S. Wu (2024). Genetic algorithm feature selection resilient to increasing amounts of data imputation. To appear in the Proceedings of theFlorida Artificial Intelligence Research Society (FLAIRS) Conference, May 19-21, 2024, Miramar Beach, FL. [pdf]

2023

• Reamonn Norat, Annie S. Wu, and Xinliang Liu (2023). Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists. Expert Systems with Applications, 218, 119529. [pdf] [Info] [bibtex]

• Maryam Kebari, Annie S. Wu, and H. David Mathias (2023). PID-inspired modifications in response thresholds models in swarm intelligent systems. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 39-46. [pdf] [bibtex]

• Thomas Schiller, Bruce Caulkins, Annie S. Wu, and Sean Mondesire (2023). Security awareness in smart homes and internet of things networks through swarm-based cybersecurity penetration testing. Information, 14(10), 536. [pdf] [Info] [bibtex]

• Richard C. Yarnell, Pierce Powell, Ronald F. DeMara, and Annie S. Wu (2023). A genetic algorithm for combinatorial logic circuit synthesis using directed graph primitives. In the Proceedings of the 22nd IEEE International Conference on Machine Learning and Applications. December 15-17, 2023, Jacksonville, FL.

2022

• Avelino J. Gonzalez, Thomas Anchor, Anthony Hevia, Andres Posadas, Josh Wade, Rebeca A. Ansag, Kyle Benko, Brooke Bottoni, Vera Kazakova, Matthew J. Alvarez, Josiah M. Wong, Jordan Martin, Rainer Knauf, Klaus P. Jantke, and Annie S. Wu (2022). The evolution of the fAIble system to automatically compose and narrate stories for children. Journal of Experimental and Theoretical Artificial Intelligence, DOI: 10.1080/0952813X.2022.2104382. [pdf] [Info] [bibtex]

• H. David Mathias, Annie S. Wu, and Daniel Dang (2022). Analysis of evolved response thresholds for decentralized dynamic task allocation. ACM Transactions on Evolutionary Learning and Optimization, 2(2), 1-30. [pdf] [Info] [bibtex]

• Avelino J. Gonzalez, Josiah M. Wong, Emily M. Thomas, Alec Kerrigan, Lauren Hastings, Andres Posadas, Kevin Negy, Annie S. Wu, Santiago Ontanon, and Yi-Ching Lee (2022). Detection of driver health condition by monitoring driving behavior with machine learning from observation. Expert Systems with Applications, 199, 117167. [pdf] [Info] [bibtex]

• Austin Starken, Bruce Caulkins, Annie S. Wu, and Sean Mondesire (2022). Trends in machine learning for adaptive automated forces. In the Proceedings of the Interservice/Industry Training, Simulation, and Education Conference. November 28 - December 2, 2022. [pdf] [Info] [bibtex]

• Esteban Segarra Martinez, Stephen V. Maldonado, Annie S. Wu, Ryan P. McMahan, Xinliang Liu, and Blake Oakley (2022). Effects of imputation strategy on genetic algorithms and neural networks on a binary classification problem. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1272-1280. July 9-13, 2022. [pdf] [bibtex]

• Esteban Segarra Martinez, Annie S. Wu, and Ryan P. McMahan (2022). Research trends in virtual reality locomotion techniques. In the Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, pp. 270-280. March 12-16, 2022. [pdf] [bibtex]

2021

• H. David Mathias, Annie S. Wu, and Daniel Dang (2021). Evolved response thresholds generalize across problem instances for a deterministic-response multiagent system. In the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). July 10-14, 2021. [pdf] [bibtex]

• Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, and H. David Mathias (2021). Decentralized swarm desynchronization via inter-agent variation for logistic resupply. In the Proceedings of the 34th Florida Artificial Intelligence Research Society (FLAIRS) Conference. North Miami Beach, FL, May 17-19, 2021. [pdf] [bibtex]

• Joseph P. Giordano, Annie S. Wu, Arjun Pherwani, and H. David Mathias (2021). Comparison of desynchronization methods for a decentralized swarm on a logistical resupply problem. In the Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1510-1511. May 3-7, 2021. [pdf] [bibtex]

2020

• Annie S. Wu, R. Paul Wiegand, and Ramya Pradhan (2020). Response probability enhances robustness in decentralized threshold-based robotic swarms. Swarm Intelligence, 14, 233-258. [pdf] [Info] [bibtex]

• Vera A. Kazakova, Annie S. Wu, and Gita R. Sukthankar (2020). Respecializing swarms by forgetting reinforced thresholds. Swarm Intelligence, 14, 171-204. [pdf] [Info] [bibtex]

• Kaelen Engholdt, H. David Mathias, and Annie S. Wu (2020). Variable response duration promotes self-organization in decentralized swarms. In the Proceedings of the 9th International Conference on Bioinspired Optimization Methods and their Applications (BIOMA 2020), pp. 17-28. November 19-20, 2020. [pdf] [bibtex]

• Annie S. Wu and H. David Mathias (2020). Dynamic response thresholds: Heterogeneous ranges allow specialization while mitigating convergence to sink states. In the Proceedings of the12th International Conference on Swarm Intelligence (ANTS 2020), pp. 107-120. October 26-28, 2020. [pdf] [bibtex]

• H. David Mathias, Annie S. Wu, and Laik Ruetten (2020). Heterogeneous response intensity ranges and response probability improve goal achievement in multi-agent systems. In the Proceedings of the 12th International Conference on Swarm Intelligence (ANTS 2020), pp. 148-160. October 26-28, 2020. [pdf] [bibtex]

• Brooke Botoni, Yasmine Moolenaar, Anthony Hevia, Thomas Anchor, Kyle Benko, Rainer Knauf, Klaus Jantke, Avelino Gonzalez, and Annie Wu (2020). Character depth and sentence diversification in automated narrative generation. In the Proceedings of the 33rd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 21-26. May 17-20, 2020. [pdf] [bibtex]

• H. David Mathias, Annie S. Wu, Laik Ruetten and Eric Coursin (2020). Improving multi-agent system coordination via intensity variation. In the Proceedings of the 33rd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 368-373. May 17-20, 2020. [pdf] [bibtex]

• Annie S. Wu, H. David Mathias, Joseph P. Giordano, and Anthony Hevia (2020). Effects of response threshold distribution on dynamic division of labor in decentralized swarms. In the Proceedings of the 33rd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 386-391. May 17-20, 2020. [pdf] [bibtex]

2019

• Annie S. Wu, Xinliang Liu, and Reamonn Norat (2019). A genetic algorithm approach to predictive modeling of Medicare payments to physical therapists. In the Proceedings of the 32nd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 311-316. Sarasota, FL, May 19-22, 2019. [pdf] [bibtex]

• John Albury, Richard Wales, and Annie S. Wu (2019). Improving file compression using elementary cellular automata. In the Proceedings of the 32nd International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 104-107. Sarasota, FL, May 19-22, 2019. [pdf] [bibtex]

2018

• Vera A. Kazakova and Annie S. Wu (2018). Specialization vs. re-specialization: Effects of Hebbian learning in a dynamic environment. In the Proceedings of the 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 354-359. Melbourne, FL, May 21-23, 2018. [pdf] [bibtex]

• Annie S. Wu and Cortney Riggs (2018). Inter-agent variation improves dynamic decentralized task allocation. In the Proceedings of the 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 366-369. Melbourne, FL, May 21-23, 2018. [pdf] [bibtex]

• Reamonn Norat, Annie S. Wu, David Anekstein, Jonathan Jakes-Schauer, and Pawel Wocjan (2018). Genetic algorithms on Tensor network contraction order finding. In the Proceedings of the 31st International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Melbourne, FL, May 21-23, 2018. [bibtex]

2017

• Vera A. Kazakova and Annie S. Wu (2017). Iterative weighted 2D orientation averaging that minimizes arc-length between vectors. In the Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2499-2504. Vancouver, BC, September 24-28, 2017. [pdf] [bibtex]

• Annie S. Wu and Vera A. Kazakova (2017). Effects of task consideration order on decentralized task allocation using time-variant response thresholds. In the Proceedings of the 30th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 466-471. Marco Island, FL, May 22-24, 2017. [pdf] [bibtex]

• Vincent R. Ragusa, H. David Mathias, Vera A. Kazakova, and Annie S. Wu (2017). Enhanced genetic path planning for autonomous flight. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1208-1215. Berlin, Germany, July 15-19, 2017. [pdf] [bibtex]

2016

• Annie S. Wu, R. Paul Wiegand, and Ramya Pradhan (2016). Building redundancy in multi-agent systems using probabilistic action. In the Proceedings of the 29th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 404-409. Key Largo, FL, May 16-18, 2016. [pdf] [Info] [bibtex]

• Vera A. Kazakova and Annie S. Wu (2016). Smarter sharing is caring: Weighted averaging in decentralized collective transport with obstacle avoidance. Proceedings of the 29th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, pp. 56-61. Key Largo, FL, May 16-18, 2016. [pdf] [Info] [bibtex]

2015

• Annie S. Wu (2015). Effects of task priority on distributed task allocation using variable response thresholds. In the Proceedings of the 28th International Florida Artificial Intelligence Research Society (FLAIRS) Conference. Hollywood, FL, May 18-20, 2015. [bibtex]

2014

• Christopher D. Hollander, Annie S. Wu (2014). Gossip-based solutions for discrete rendezvous in populations of communicating agents. PLoS ONE 9(11): e112612. [pdf] [html] [bibtex]

2013

• Vera A. Kazakova, Annie S. Wu and Talat S. Rahman (2013). Cluster energy optimizing genetic algorithm. In the Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation (GECCO), pp. 1317-1324. Amsterdam, Netherlands, July 6-10, 2013. [pdf] [bibtex]

• Annie S. Wu, R. Paul Wiegand, and Ramya Pradhan (2013). Using response probability to build system redundancy in multi-agent systems. In the Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1343-1344. St. Paul, MN, May 6-10, 2013. [pdf] [bibtex]

• Hector M. Lugo-Cordero, Ratan K. Guha, and Annie S. Wu (2013). Adaptive strategies for evolutionary algorithm monitoring. In the Proceedings of the 6th International Symposium on Resilient Control Systems (ISRCS), pp. 19-24. San Francisco, CA, August 13-15, 2013. [Info] [bibtex]

2012

• Cortney Riggs and Annie S. Wu (2012). Variation as an element in multi-agent control for target tracking. In the Proceedings of the 25th IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 834-841. Vilamoura, Portugal, October 7-10, 2012. [pdf] [Info] [bibtex]

• Annie S. Wu, R. Paul Wiegand, Ramya Pradhan, and Gautham Anil (2012). The effects of inter-agent variation on developing stable and robust teams. In the Proceedings of the AAAI 2012 Spring Symposium: AI, The Fundamental Social Aggregation Challenge, and the Autonomy of Hybrid Agent Groups. Palo Alto, CA, March 26-28, 2012. [pdf] [Info] [bibtex]

2011

• Christopher D. Hollander and Annie S. Wu (2011). The current state of normative agent-based systems. In the Journal of Artificial Societies and Social Simulation, 14(2)6. [html]

• Adam Campbell and Annie S. Wu (2011). Multi-agent role Allocation: Issues, approaches, and multiple perspectives. In the Journal of Autonomous Agents and Multi-Agent Systems, 22(2), 317-355. [pdf] [Info]

• Ramya Pradhan and Annie S. Wu (2011). On the relationship between response probability and redundancy in teams of collaborating agents. In the Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, Orlando, FL, October 15-18, 2011. [pdf]

• Christopher D. Hollander and Annie S. Wu (2011). Using the process of norm emergence to model consensus formation. In the Proceedings of the 5th International Conference on Self-Adaptive and Self-Organizing Systems, Ann Arbor, MI, October 3-7, 2011. [pdf]

• Adam Campbell, Cortney Riggs and Annie S. Wu (2011). On the impact of variation on self-organizing systems. In the Proceedings of the 5th International Conference on Self-Adaptive and Self-Organizing Systems, pp. 119-128 Ann Arbor, MI, October 3-7, 2011. [pdf]

• Stephen M. Fiore, Norman L. Badler, Lotzi Boloni, Michael A. Goodrich, Annie S. Wu, and Jessie Chen (2011). Human-robot teams collaborating socially, organizationally, and culturally. In the Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 55:1, 465-469. [Info]

2010

• R. Ramirez-Padron, F. Batarseh, K. Heyne, A. S. Wu, and A. Gonzalez (2010). On the performance of fitness uniform selection for non-deceptive problems. In the Proceedings of the 48th ACM Southeast Conference, Oxford, MS, April 15-17, 2010.

• R. Dacey, R. Heckendorn, L. J. Carlson, and A. Wu (2010). An analysis of conflict commitment strategies, and the evolution of preferences in the Dual Personality Game. In the 2010 International Studies Association Annual Convention: Theory vs. Policy? Connecting Scholars and Practitioners.

2009

• Michael Georgiopoulos, Ronald F. DeMara, Avelino J. Gonzalez, Annie S. Wu, Mansooreh Mollaghasemi, Erol Gelenbe, Marcella Kysilka, J. Secretan, Carthik A. Sharma, and A. J. Alnsour (2009). A sustainable model for integrating current topics in machine learning research into the undergraduate curriculum. IEEE Transactions on Education, 52:4, 503-512. [Info]

• R. P. Wiegand, G. Anil, O. O. Garibay, and A. S. Wu (2009). On the performance effects of unbiased module encapsulation. In the Proceedings of the 2009 Genetic and Evolutionary Computation Conference, pp. 1729-1736.

• A. Campbell and A. S. Wu (2009). On the significance of synchroniety in emergent systems. In the Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems , Budapest, Hungary, May 10-15, 2009. [pdf]

• A. S. Wu, S. Mondesire, M. Blowers, and J. C. Sciortino, Jr. (2009). Distributed task allocation in dynamic environments. In the Proceedings of the SPIE Defense, Security, and Sensing Conference, Orlando, FL, April 13-17, 2009.

2008

• L. J. Carlson, R. Dacey, R. B. Heckendorn, A. S. Wu (2008). Computational modeling of the traditional deterrence game. In the Proceedings of the 49th Annual International Studies Association Convention, "Bridging Multiple Divides", San Francisco, CA, March 26-29, 2008.

• A. Campbell, A. S. Wu, and R. Shumaker (2008). Multi-agent task allocation: Learning when to say no. In the Proceeding of the 2008 Genetic and Evolutionary Computation Conference, pp. 201-208, Atlanta, GA, July 12-16, 2008.

• B. S. Stensrud, D. A. Reece, N. Piegdon, A. S. Wu (2008). Asymmetric adversary tactics for synthetic training environments. In the Proceedings of the Behavior Representation in Modeling and Simulation Conference, Providence, RI, April 14-17, 2008.

• J. P. Hecker, A. S. Wu, J. A. Herweg, and J. C. Sciortino, Jr. (2008). Team-based resource allocation using a decentralized social decision-making paradigm. In the Proceedings of SPIE, Evolutionary and Bio-inspired Computation: Theory and Applications II. Orlando, FL, March 17-20, 2008

2007

• Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Annie S. Wu, and Georgios Anagnostopoulos (2007). GFAM: Evolving Fuzzy ARTMAP neural networks. Neural Networks , 20:8, 874-892. [Info]

• Ahmad Al-Daraiseh, Assem Kaylani, Michael Georgiopoulos, Monsooreh Mollaghasemi, Annie S. Wu, and Georgios Anagnostopoulos (2007). Genetically Engineered ART architectures. Computational Intelligence Based on Lattice Theory, Volume 67, pp. 233-262, Springer Berlin Heidelberg. [Info]

• A. Kaylani, A. Ahmad, M. Georgiopoulos, M. Mollaghasemi, G. Anagnostopoulos, and A. S. Wu (2007). Genetic Optimization of ART Neural Network Architectures. in the Proceedings of the International Joint Conference on Neural Networks, pp. 379-384, Orlando, FL, August 12-17, 2007.

• Ozlem O. Garibay and Annie S. Wu (2007). Analyzing the effects of module encapsulation on search space bias. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1234-1241, London, England, July 7-11, 2007. [pdf]

• G. A. Vilches, A. S. Wu, J. C. Sciortino, D. J. Pack, and J. P. Ridder (2007). Evolving behaviors in search and tracking problems. In the Proceedings of SPIE, Evolutionary and Bio-inspired Computation: Theory and Applications, Volume 6563, Orlando, FL, April 12-13, 2007

• A. Campbell and A. S. Wu (2007). Learning and exploiting knowledge in multiagent task allocation problems. In the Proceedings of the GECCO 2007 Workshop on Evolutionary Computation and Multiagent Systems and Simulation.

2006

• Ivan Garibay, Annie S. Wu, and Ozlem Garibay (2006). Emergence of genomic self-similarity in location independent representations. Genetic Programming and Evolvable Machines, 7:1, 55-80. [Info]

• Sean Szumlanski, Annie S. Wu, and Charles E. Hughes (2006). Conflict resolution and a framework for collaborative interactive evolution. In the Proceedings of the 21st National Conference on Artificial Intelligence (AAAI), Boston, MA, July 16-20, 2006.

• Michael Georgiopoulos, Erol Gelenbe, Ronald DeMara, Avelino Gonzalez, Marcella Kysilka, Mansooreh Mollaghasemi, Annie Wu, Georgios Anagnostopoulos, Ingrid Russell, and Jimmy Secretan (2006). Assessing and evaluating our CRCD experiences and University of Central Florida: An NSF project. In the Proceedings of the ASEE Conference and Exposition: Excellence in Education. [Info]

• Georgios Anagnostopoulos, Michael Georgiopoulos, Ken Ports, Samuel Richie, Melinda White, Veton Kepuska, Philip Chan, Annie Wu, and Marcella Kysilka (2006). Engaging undergraduate students in machine learning research: Progress, experiences, and achievements of project EMD-MLR. In the Proceedings of the ASEE Conference and Exposition: Excellence in Education. [Info]

• Ahmad Al-Daraiseh, Michael Georgiopoulos, Annie S. Wu, Georgios Anagnostopoulos, and Mansooreh Mollaghasemi (2006). GFAM: Evolving fuzzy ARTMAP neural networks. In the Proceedings of the 19th International Florida Artificial Intelligence Research Society (FLAIRS) Conference, Melbourne Beach, FL, May 11-13, 2006. [pdf]

• Han Yu, Dan C. Marinescu, Annie S. Wu, Howard J. Siegel, Rose A. Daley, and I. J. Wang (2006). Plan switching: An approach to plan execution in changing environments. In the Proceedings of the 15th Heterogeneous Computing Workshop, Rhodes Island, Greece, April 25, 2006. [pdf]

• Bing Chen, Joohan Lee, and Annie S. Wu (2006). Active event correlation in Bro IDS to detect multi-stage attacks. In the Proceedings of the 4th IEEE International Information Assurance Workshop, Royal Holloway, UK, April 13-14, 2006.

• Adam Campbell, Annie S. Wu, Keith Garfield, Randall Shumaker, Sean Luke, and Kenneth A. De Jong (2006). Empirical study on the effects of synthetic social structures on teams of autonomous vehicles. In the Proceedings of the IEEE International Conference on Networking, Sensing, and Control, pp. 440-445, Fort Lauderdale, FL, April 23-25, 2006. [pdf]

• Annie S. Wu, Ayse S. Yilmaz, and John C. Sciortino, Jr. (2006). Evolution of sensor suites for complex environments. In the Proceedings of the IEEE International Conference on Networking, Sensing, and Control, Fort Lauderdale, FL, April 23-25, 2006. [pdf]

• Mehmet K. Oner, Ivan I. Garibay, and Annie S. Wu (2006). Mating networks in steady state genetic algorithms are scale free. In the Proceedings of the 2006 Genetic and Evolutionary Computation Conference, pp. 1423-1424.

2005

• Han Yu, Dan C. Marinescu, Annie S. Wu, and H. J. Siegel (2005). Genetic-based planning with recursive subgoals. International Journal of Computational Intelligence, 2:3, 192-198.

• Ivan I. Garibay, Annie S. Wu, and Ozlem O. Garibay (2005). On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1177-1184, Washington, DC, June 25-29, 2005. Nominated for Best Paper Award.

• Hal Stringer and Annie S. Wu (2005). Behavior of finite population variable length genetic algorithms under random selection. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1249-1256, Washington, DC, June 25-29, 2005.

• Sean R. Szumlanski, Annie S. Wu, and Charles E. Hughes (2005). Collaborative interactive evolution. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 2199-2200, Washington, DC, June 25-29, 2005.

• Ayse Selen Yilmaz and Annie S. Wu (2005). Preservation of genetic redundancy in the existence of developmental error and fitness assignment error. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1317-1324, Washington, DC, June 25-29, 2005.

• Gary Stein, Bing Chen, Annie S. Wu, and Kien A. Hua (2005). Decision tree classifier for network intrusion detection with GA-based feature selection. In the Proceedings of the 43rd ACM Southeast Conference, Kennesaw, GA, March 18-20, 2005. [pdf] [pdf.gz]

• Linus J. Luotsinen, Joakim N. Ekblad, Annie S. Wu, Avelino J. Gonzalez, and Ladislau Boloni (2005). A two-stage genetic programming approach for non-player characters. In the International Academic Conference on the Future of Game Design and Technology East Lansing, MI, October 2005. [Info]

• Keith Garfield, Annie Wu, Mehmet Onal, Britt Crawford, Adam Campbell, and Randall Shumaker (2005). The effectiveness of transferring multi-agent behaviors from a learning environment in the presence of synthetic social features. In the Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Orlando, FL, November 5-11, 2005. [pdf]

• Han Yu and Annie S. Wu (2005). An incremental approach to the Proportional GA. In the Proceedings of the GECCO 2005 Late Breaking Papers, Washington, DC, June 25-29, 2005.

• D. B. Bracewell, S. Russell, and A. S. Wu (2005). Identification, expansion, and disambiguation of acronyms in biomedical texts. In the Proceedings of the International Symposium on Parallel and Distributed Processing and Applications Workshops, LNCS 3758, Nanjing, China, November 2-5, 2005, pp. 186-195.

2004

• Annie S. Wu, Han Yu, Shiyuan Jin, Kuo-Chi Lin, and Guy Schiavone (2004). An incremental genetic algorithm approach to multiprocessor scheduling. IEEE Transactions on Parallel and Distributed Systems , 15:9. [pdf] [Info]

• Zhiguang Xu and Annie S. Wu (2004). Adhoc-like routing in wired networks with genetic algorithms. Ad Hoc Networks Journal, 2, 255-263. [Info]

• Annie S. Wu, Ivan I. Garibay (2004). Genetic algorithm optimization of life support system control. IEEE Transactions on Systems, Man, and Cybernetics, Part B , 34:3, 1423-1434. [ps] [ps.gz] [pdf] [Info]

• Han Yu, Dan C. Marinescu, Annie S. Wu, and Howard J. Siegel (2004). Planning with recursive subgoals. In the Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, pp. 17-27, September 2004. [pdf]

• Ivan I. Garibay, Ozlem O. Garibay, and Annie S. Wu (2004). Effects of module encapsulation in repetitively modular genotypes on the search space. In the Proceedings of the Genetic and Evolutionary Computation Conference, Vol. 1, pp. 1125-1137, Seattle, WA, June 26-30, 2004, Springer-Verlag LNCS Series. [pdf]

• Hal Stringer and Annie S. Wu (2004). Winnowing wheat from chaff: The Chunking GA. In the Proceedings of the Genetic and Evolutionary Computation Conference, Vol. 2, pp. 198-209, Seattle, WA, June 26-30, 2004, Springer-Verlag LNCS Series. [pdf]

• Han Yu, Ning Jiang, and Annie S. Wu (2004). Populating genomes in a dynamic grid. In the Proceedings of the Genetic and Evolutionary Computation Conference, Vol. 2, pp.418-419, Seattle, WA, June 26-30, 2004, Springer-Verlag LNCS Series. [ps] [ps.gz] [pdf]

• Michael Georgiopoulos, Jose Castro, Erol Gelenbe, Ronald DeMara, Avelino Gonzalez, Marcella Kysilka, Mansooreh Mollaghasemi, Annie Wu, and Ingrid Russell (2004). CRCD experiences at the University of Central Florida: An NSF project. In the Proceedings of the ASEE, Session 1332, Salt Lake City, UT, June 20-23, 2004.

• Ayse S. Yilmaz, Brian N. McQuay, Annie S. Wu, and John C. Sciortino, Jr. (2004). Designing teams of unattended ground sensors using genetic algorithms. In the Proceedings of the SPIE Defense and Security Symposium, Intelligent Computing Theory and Applications II, Vol. 5421, pp. 82-91, Orlando, FL, April 12-16, 2004. [ps] [ps.gz] [pdf]

• I. I. Garibay and A. S. Wu (2004). Emergence of genomic self-similarity in a proteome-based representation. In the Proceedings of the Alife 2004 Workshop on Self-Organization and Development in Artificial and Natural Systems, September 2004.

• Matthew Rhodes, Greg Tener, Annie S. Wu, Jason HandUber, Sean Luke, Keith Garfield, Randall Shumaker, Kenneth A. De Jong (2004). Evolving control for micro air vehicles in the presence of social rules. In the Proceedings of the Symposium on Artificial Multi-agent Learning in the 2004 AAAI Fall Symposium Series.

• Ivan I. Garibay and Annie S. Wu (2004). Emergent white noise behavior in location independent representations. In the Proceedings of the GECCO 2004 Workshop on Self-Organization in Representations for Evolutionary Algorithms. [pdf]

• Ozlem O. Garibay, Ivan I. Garibay and Annie S. Wu (2004). No free lunch for module encapsulation. In the Proceedings of the GECCO 2004 Workshop on Modularity, Regularity, and Hierarchy in Open-ended Evolutionary Computation. [pdf]

2003

• Robert M. Patton, Annie S. Wu, and Gwendolyn H. Walton (2003). A genetic algorithm approach to focused software usage testing. Accepted for publication in Annals of Software Engineering. Editor chose to publish in Software Engineering with Computational Intelligence, Kluwer Academic Publishers. [pdf] [Additional info]

• Ozlem O. Garibay, Ivan I. Garibay, and Annie S. Wu (2003). The modular genetic algorithm: Exploiting regularities in the problem space. In the Proceedings of the International Symposium on Computer and Information Systems, pp 578-585, Antalya, Turkey, November 3-5, 2003. [pdf]

• Han Yu, Annie S. Wu, Kuo-Chi Lin, and Guy Schiavone (2003). Adaptation of length in a nonstationary environment. In the Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, IL, July 2003, Springer-Verlag LNCS Series. [ps] [ps.gz] [pdf]

• Ayse S. Yilmaz, Brian N. McQuay, Annie S. Wu, and John C. Sciortino, Jr. (2003). Evolving sensor suites for enemy radar detection. In the Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, IL, July 2003, Springer-Verlag LNCS Series. [ps] [ps.gz] [pdf]

• Gregory A. Holifield and Annie S. Wu (2003). A genetic algorithm as a learning method based on geometric representations. In the Proceedings of the Genetic and Evolutionary Computation Conference, Chicago, IL, July 2003, Springer-Verlag LNCS Series.

• Michael Georgiopoulos, Jose Castro, Annie S. Wu , Ronald DeMara, Erol Gelenbe, Avelino Gonzalez, Marcella Kysilka & Mansooreh Mollaghasemi (2003). CRCD in machine learning at the University of Central Florida: Preliminary experiences. In the Proceedings of the 8th Annual Conference on Innovation and Technology in Computer Science Education, University of Macedonia, Thessaloniki, Greece, June 30-July 2, 2003, pp.249.

• Michael Georgiopoulos, Ronald DeMara, Erol Gelenbe, Avelino Gonzalez, Marcella Kysilka, Mansooreh Mollaghasemi, Annie S. Wu & Ingrid Russell (2003). Machine learning advances for engineering and science education: A CRCD experience at the University of Central Florida, In the Proceedings of the 13th International Conference on Artificial Neural Networks (ICANN), Istanbul, Turkey, June 26-29, 2003, pp.465-468.

• Michael Georgiopoulos, Ingrid Russell, Jose Castro, Annie S. Wu, Marcella Kysilka, Ronald DeMara, Avelino Gonzalez, Erol Gelenbe, and Mansooreh Mollaghasemi (2003). A CRCD Experience: Integrating machine learning concepts into introductory engineering and science programming courses. In the Proceedings of the 2003 Association of Engineering Education (ASEE) Conference and Exposition, June 2003. [Info]

• Han Yu, Dan C. Marinescu, Annie S. Wu, and Howard Jay Siegel (2003). A genetic approach to planning in heterogeneous computing environments. In the Proceedings of the 17th International Parallel and Distributed Processing Symposium, p. 97 (12th Heterogeneous Computing Workshop) Nice, France, April 22, 2003. [abstract] [ps] [ps.gz] [pdf]

• Britt Crawford and Annie S. Wu (2003). Regulating population size with self-organized criticality. In the Proceedings of the GECCO 2003 Late Breaking Papers.

• Ozlem O. Garibay, Ivan I. Garibay, and Annie S. Wu (2003). The modular genetic algorithm: Motivation and first results on repetitive modularity. In the Proceedings of the GECCO 2003 Late Breaking Papers.

• Han Yu, Ning Jiang, and Annie S. Wu (2003). Simulating GA search in a dynamic grid environment. In the Proceedings of the GECCO 2003 Late Breaking Papers.

• Shiyuan Jin, Ming Zhou, and Annie S. Wu (2003). Sensor network optimization using a genetic algorithm. In the Proceedings of the 7th World Multiconference on Systemics, Cybernetics, and Informatics, Orlando, FL, July 2003. [pdf]

• Viet C. Trinh, Gregory A. Holifield, and Annie S. Wu (2003). Applied cloning techniques for a genetic algorithm used in evolvable hardware design. In the Proceedings of the 7th World Multiconference on Systemics, Cybernetics, and Informatics, Orlando, FL, July 2003. [pdf]

• John C. Sciortino, Annie S. Wu, Han Yu, Brian N. McQuay, Ayse S. Yilmaz, and Vijay C. Kowtha (2003). ISR team formation for unattended ground ES sensor networks using evolutionary algorithms. In Proceedings of the 48th Joint Electronic Warfare Conference.

• Gregory A. Holifield and Annie S. Wu (2003). A molecular model for evolving self-organization and self-assembly in complex systems. In the Proceedings of the Graduate Student Workshop at the Genetic and Evolutionary Computation Conference.

• Ivan I. Garibay and Annie S. Wu (2003). Cross-fertilization between proteomics and computational synthesis. In the Proceedings of the 2003 AAAI Spring Symposium Series -- Computational synthesis: From basic building blocks to high level functionality. [ps] [ps.gz]

2002

• Annie S. Wu and Ivan Garibay (2002). The proportional genetic algorithm: Gene expression in a genetic algorithm. Genetic Programming and Evolvable Machines 3:2, 157-192. [ps] [ps.gz] [pdf]

• Ayse S. Yilmaz and Annie S. Wu (2002). A comparison of haploidy and diploidy without dominance on integer representations. In the Proceedings of the 17th International Symposium on Computer and Information Sciences , 242-248, Orlando, FL, October 28-30 2002. [ps] [ps.gz]

• Erol Gelenbe, Zhiguang Xu, and Annie S. Wu (2002). Network Routing with Extended Genetic Algorithms. In the Proceedings of the IASTED International Conference on Networks, Parallel and Distributed Processing, and Applications , Tsukuba, Japan, October 2-4, 2004.

• Hal Stringer and Annie S. Wu (2002). A simple method for detecting domino convergence and identifying salient genes within a genetic algorithm. In the Proceedings of the Genetic and Evolutionary Computation Conference , pp. 594-601, New York, NY, July 2002. [ps] [ps.gz]

• Annie S. Wu and Ivan Garibay (2002). The proportional genetic algorithm representation. In the Proceedings of the Genetic and Evolutionary Computation Conference , p. 703, New York, NY, July 2002. [ps] [ps.gz]

• Gregory A. Holifield and Annie S. Wu (2002). Population genetics of regulatory genes: A genetic algorithm model. In the Proceedings of the GECCO 2002 Late Breaking Papers.

• Annie S. Wu, Han Yu, Kuo-Chi Lin, and Guy Schiavone (2002). Length variation in response to a changing environment. In the Proceedings of the GECCO 2002 Late Breaking Papers.

• Ayse S. Yilmaz and Annie S. Wu (2002). The effect of diploidy on integer representations. In the Proceedings of the GECCO 2002 Late Breaking Papers.

• Annie S. Wu and Hal Stringer (2002). Learning using chunking in genetic algorithms. In the Proceedings of the 11th Conference on Computer Generated Forces and Behavioral Representation. Orlando, FL, pp. 243-254. [ps] [ps.gz]

• Annie S. Wu and Ivan Garibay (2002). The proportional genetic algorithm. In the Proceedings of the 2002 GECCO Workshop on Representations for Genetic and Evolutionary Algorithms.

2001

• Annie S. Wu, Shiyuan Jin, Guy Schiavone, Kuo-Chi Lin (2001). An incremental fitness function for partitioning parallel tasks. In the Proceedings of the Genetic and Evolutionary Computation Conference, pp. 733-740, San Francisco, CA, July 2001, Morgan Kaufmann Publishers. [ps] [ps.gz]

2000

• Daniel J. Collins, Arvin Agah, Annie S. Wu, and Alan C. Schultz (2000). The effects of team size on the evolution of distributed micro air vehicles. In the Proceedings of the 2000 Genetic and Evolutionary Computation Conference, pp. 949-956.

• Robert W. Franceschini, Annie S. Wu, and Amar Mukherjee (2000). Computational strategies for disaggregation. In the Proceedings of the 9th Conference on Computer Generated Forces and Behavioral Representation, pp. 543-554.

• Lin, K. C., Wu, A. S., Qu, Z., Joshi, Tanmoy (2000). Path Design of Large Flexible Material Handling. In the Proceedings of 2000 ASME International Mechanical Engineering Congress, DE-Vol. 108, Dynamics, Acoustics and Simulations, Orlando, FL, pp. 221-225.

1999

• Annie S. Wu, Alan C. Schultz, Arvin Agah (1999) Evolving control for distributed micro air vehicles. In the Proceedings of the 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 174-179. [ps] [ps.gz]

• Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, and Connie Loggia Ramsey (1999) Visual analysis of evolutionary algorithms. In the Proceedings of the 1999 Congress on Evolutionary Computation, pp. 1419-1425. [pdf] [ps]

• Annie S. Wu and Kenneth A. De Jong (1999) An examination of building block dynamics in different representations. In the Proceedings of the 1999 Congress on Evolutionary Computation, pp. 715-721. [ps] [ps.gz]

• Annie S. Wu, Connie L. Ramsey, Kenneth A. De Jong, John J. Grefenstette, and Donald S. Burke (1999). VIS: A genetic algorithm visualziation tool. In the Proceedings of the 1999 GECCO Workshop on Representations for Genetic and Evolutionary Algorithms.

1998

• Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, and Annie S. Wu (1998) Putting more genetics into genetic algorithms. Evolutionary Computation, 6:4, 387-410. [ps] [ps.gz] [pdf]

• Connie Loggia Ramsey, John J. Grefenstette, Kenneth A. De Jong, Annie S. Wu, and Donald S. Burke (1998) Genome length as an evolutionary self-adaptation. In Proceedings of the 5th Conference on Parallel Problem Solving from Nature, pp. 345-353, Amsterdam, Netherlands. [info]

• Donald S. Burke, Annie S. Wu, Connie L. Ramsey, Kenneth A. De Jong, and John J. Grefenstette (1998). A computational model of viral evolution and emergence. In the Proceedings of the International Conference on Emerging Infectious Diseases, p. 75.

• John J. Grefenstette, Donald S. Burke, Kenneth A. De Jong, Connie L. Ramsey, and Annie S. Wu (1998) An evolutionary computation model of emerging virus diseases. Pacific Symposium on Biocomputing.

1997

• Annie S. Wu and Robert K. Lindsay and Rick L. Riolo (1997) Empirical observations on the roles of crossover and mutation. In the Proceedings of the 7th International Conference on Genetic Algorithms, pp. 362-369, East Lansing, Michigan. [ps] [ps.gz] (NCARAI Technical Report: AIC-97-029)

1996

• Annie S. Wu and Robert K. Lindsay (1996) A comparison of the fixed and floating building block representation in the genetic algorithm. Evolutionary Computation 4:2, 169-193. [ps] [ps.gz] [pdf]

• Annie S. Wu and Robert K. Lindsay (1996) A survey of intron research in genetics. In the Proceedings of the 4th Conference on Parallel Problem Solving from Nature, pp. 101-110, Berlin, Germany, September 1996.

• Robert K. Lindsay and Annie S. Wu (1996) Testing the robustness of the genetic algorithm on the floating building block representation. In the Proceedings of the 13th National Conference on Artificial Intelligence, pp. 793-798, Portland, OR.

1995

• Annie S. Wu and Robert K. Lindsay (1995) Empirical studies of the genetic algorithm with non-coding segments. Evolutionary Computation, 3:2, 121-147. [ps] [ps.gz] [pdf]

1994

• Annie S. Wu, Robert K. Lindsay, Michael D. Smith (1994) Studies on the effect of non-coding segments on the genetic algorithm. In the Proceedings of the 6th IEEE International Conference on Tools with Artificial Intelligence, pp. 744-747, New Orleans, LA.

• Annie Wu, Clint Bidlack, Arun Katkere, Roy Feague, and Terry Weymouth (1994) Vision based object pose estimation for mobile robots. In the Proceedings of the AIAA/NASA Conference on Intelligent Robots in Field, Factory, Service, and Space (CIRFFSS 94), pp. 168-174, Houston, TX. [ps] [ps.gz]

• David Kortenkamp, Marcus Huber, Frank Koss, William Belding, Jaeho Lee, Annie Wu, Clint Bidlack, and Seth Rodgers (1994) Mobile robot exploration and navigation of indoor spaces using sonar and vision. In the Proceedings of the AIAA/NASA Conference on Intelligent Robots in Field, Factory, Service, and Space (CIRFFSS 94), pp. 509-519, Houston, TX. [ps.Z]

1992

• Yuval Roth, Annie S. Wu, Remzi Arpaci, Terry Weymouth, and Ramesh Jain (1992). Model-driven pose correction. In the Proceedings of the IEEE International Conference on Robotics and Automation, pp. 2625-2630.

• Marcus J. Huber, Clint Bidlack, David Kortenkamp, Kevin Mangis, Doug Baker, Annie Wu, and Terry Weymouth (1992). Computer vision for CARMEL. In the Proceedings of SPIE Mobile Robots VII, Boston, MA. [ps]

Edited Volumes

• I. Garibay, T. Jansen, R. P. Wiegand, and A. S. Wu (2009). Proceedings of the 10th ACM SIGEVO Conference on Foundations of Genetic Algorithms (FOGA X), Association for Computing Machinery, NY, NY.

• L. Spector, E. D. Goodman, A. Wu, W. B. Langdon, H. M. Voight, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. H. Garzon, and E. Burke (2001). Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), Morgan Kaufmann.

• A. S. Wu (2000) Proceedings of the Genetic and Evolutionary Computation COnference (GECCO) Workshop Program, International Society for Genetic and Evolutionary Computation (ISGEC) Press, Palo Alto, CA.

• S. Brave and A. S. Wu (1999). Proceedings of the Genetic and Evolutionary Computation COnference (GECCO) Workshop Program, ISGEC Press, Palo Alto, CA.

• A. S. Wu (1999). Proceedings of the Late Breaking Papers at the Genetic and Evolutionary Computation COnference (GECCO), ISGEC Press, Palo Alto, CA.

Technical Reports

• Annie S. Wu, H. David Mathias, Joseph P. Giordano, and Arjun Pherwani (2021). Collective control as a decentralized task allocation testbed. Technical Report: CS-TR-21-01, University of Central Florida, Department of Computer Science. [pdf] [pdf.gz]

• Annie S. Wu, Ramya Pradhan, Lisa J. Carlson, Raymond Dacey, and Robert B. Heckendorn (2017). Evolution of preference orderings for the Deterrence Game. Technical Report: CS-TR-17-04, University of Central Florida, Department of Computer Science.

• Adam Campbell and Annie S. Wu (2007). Task and role allocation within multi-agent and robotics research. Technical Report CS-TR-07-05, University of Central Florida, School of Electrical Engineering and Computer Science.

• Han Yu and Annie S. Wu (2004). A simulated annealing approach to multi-processor task scheduling. Technical Report CS-TR-04-06, University of Central Florida, School of Computer Science.

• Hal Stringer and Annie S. Wu (2004). Bloat is unnatural: An analysis of changes in chromosome length under random selection. Technical Report CS-TR-04-01, University of Central Florida, School of Computer Science. [pdf] [pdf.gz]

• Ivan I. Garibay and Annie S. Wu (2003). Advanced life support system simulation. Technical Report CS-TR-03-05, University of Central Florida, School of Computer Science. [ps] [ps.gz] [pdf] [pdf.gz]

• Sohaib Khan and Annie Wu (2000). Fitness landscape coverage in genetic algorithms. Technical Report CS-TR-00-04, University of Central Florida, School of Computer Science.

• John J. Grefenstette, Donald S. Burke, Kenneth A. De Jong, Connie L. Ramsey, and Annie S. Wu (1997). An evolutionary computation model of emerging virus diseases. NCARAI Technical Report: AIC-97-030.

• Yuval Roth, Annie Wu, Remzi Arpaci, Terry Weymouth, and Ramesh Jain (1991). Model-driven pose correction - Techniques and experiments. Technical Report CSE-TR-107-91, Department of Electrical Engineering and Computer Science, University of Michigan.