Genetic and Evolutionary Computation COnference

GECCO-2005

Table of Contents

Author Index

Papers Nominated for Best Paper Awards

In 2002, ISGEC created a best paper award for GECCO. As part of the double blind peer review, the reviewers were asked to nominate papers for best paper awards. We are continuing this tradition at GECCO-2005. The Track Chairs, Editor in Chief, and the Conference Chair nominated the papers that received the most nominations and/or the highest evaluation scores for consideration by the conference. The winners will be chosen by secret ballot of the GECCO attendees after the paper have been orally presented at the conference. The titles and authors of all 40 papers nominated as well as the page numbers where to find them in the Proceedings are given below: 

A-Life, Evolutionary Robotics & Adaptive Behavior: 

#581, Vinod Valsalam, James Bednar, Risto Miikkulainen, Constructing Good Learners using Evolved Pattern Generators, p. 11. 

#236, Daniel Ashlock, Justin Schonfeld, A Study of Evolutionary Robustness in Stochastically Tiled Polyominos, p. 19. 

#113, Ricardo Landa Becerra, Carlos Coello Coello, Optimization with Constraints using a Cultured Differential Evolution Approach, p. 27.

Ant Colony Optimization and Swarm Intelligence:                                 (Return to Top)

#221, H. F. Wedde, M. Farooq, T. Pannenbaecker, B. Vogel, C. Mueller, J. Meth, R. Jeruschkat, BeeAdHoc: An Energy Efficient Routing Algorithm for Mobile Ad Hoc Networks Inspired by Bee Behavior, p. 153.

Artificial Immune Systems: 

#450, F. de Franga, F. Von Zuben, L. de Castro, An Artificial Immune Network for Multimodal Function Optimization on Dynamic Environments, p. 289. 

#534, F. Gonzalez, J. Galeano, A. Veloza, A. Rojas, Discriminating and Visualizing Anomalies Using Negative Selection and Self-Organizing Maps, p. 297. 

#291, Zaiyi Guo, Hann Kwang Han, Joc Cing Tay, Sufficiency Verification of HIV-1 Pathogenesis based on Multi-Agent Simulation, p. 305. 

Biological Applications:                                                               (Return to Top)

#109, Joshua Payne, Margaret Eppstein, A Hybrid Genetic Algorithm with Pattern Search for Finding Heavy Atoms in Protein Crystals, p. 377. 

#172, Leon Poladian, A GA for Maximum Likelihood Phylogenetic Inference using Neighbour-Joining as a Genotype to Phenotype Mapping, p. 415. 

#488, Habtom Ressom, Rency Varghese, Daniel Saha, Eduard Orvisky, Lenka Goldman, Christopher Loffredo, Radoslav Goldman, Particle Swarm Optimization for Analysis of Mass Spectral Serum Profiles, p. 431.

Coevolution: 

#563, Faustino Gomez, Juergen Schmidhuber, Co-evolving Recurrent Neurons Learn Deep Memory POMDPs, p. 491. 

#515, Sevan Ficici, Monotonic Solution Concepts in Coevolution, p. 499. 

#302, Elena Popovici, Kenneth De Jong, Understanding Cooperative Co-evolutionary Dynamics via Simple Fitness Landscapes, p. 507. 

Estimation of Distribution Algorithms: 

#161, Kumara Sastry, Hussein A. Abbass, David E. Goldberg, and D. D. Johnson, Sub-structural Niching in Estimation Distribution Algorithms, p. 671. 

#192, Stefan Droste, Not All Linear Functions are Equally Difficult for the Compact Genetic Algorithm, p. 679. 

#413, Martin Butz, Martin Pelikan, Xavier Llora, David Goldberg, Extracted Global Structure Makes Local Building Block Processing Effective in XCS, p. 655. 

Evolutionary Combinatorial Optimization:                                       (Return to Top)

#299, Katharina Lehmann and Michael Kaufmann, Evolutionary Algorithms for the Self-Organized Evolution of Networks, p. 563. 

#183, Christian Gunia, On the Analysis of the Approximation Capability of Simple Evolutionary Algorithms for Scheduling Problems, p. 571.

Evolutionary Multiobjective Optimization: 

#1, Frank Neumann, Ingo Wegener, Minimum Spanning Trees Made Easier Via Multi-Objective Optimization, p. 763. 

Evolutionary Strategies & Evolutionary Programming: 

#227, Tobias Storch, Transformations of Objective Functions Change the Behavior of Evolutionary and Black-Box Algorithms, p. 833. 

#130, Thomas Jansen and Ulf Schellbach, Theoretical Analysis of a Mutation-Based Evolutionary Algorithm for a Tracking Problem in the Lattice, p. 841. 

#294, Carsten Witt and Jens Jägersküpper, Rigorous Runtime Analysis of a (μ+1) ES for the Sphere Function, p. 849.

Genetic Algorithms:                                                               (Return to Top)

#248, Monte Lunacek, Darrell Whitley, James Knight, Measuring Mobility and the Performance of Global Search Algorithms, p. 1209. 

#387, Shengxiang Yang, Memory-Based Immigrants for Genetic Algorithms in Dynamic Environments, p. 1115. 

#447, Ivan Garibay, Annie S. Wu, Ozlem Garibay, On Favoring Positive Correlations between Form and Quality of Candidate Solutions via the Emergence of Genomic Self-Similarity, p. 1177. 

#487, Edwin de Jong, Richard Watson, Dirk Thierens, On the Complexity of Hierarchical Problem Solving, p. 1201. 

#558, Chongshan Zhang, Khaled Rasheed, Improving GA Search Reliability Using Maximal Hyper-Rectangle Analysis, p. 1185. 

#580, U.C. de Silva, J. Suzuki, On the Stationary Distribution of GAs with Fixed Crossover Probability, p. 1147. 

Genetic Programming:                                                               (Return to Top)

#132, Mark Collins, Finding Needles in Haystacks is Harder with Neutrality, p. 1613. 

#595, Jianjun Hu, Xiwei Zhong, Daisuke Kihara, Erik Goodman, Open-ended Robust Design of Analog filters Using Genetic Programming, p. 1619.

Learning Classifier Systems and Other Genetics-Based Machine Learning: 

#179, Mellor Drew, A First Order Logic Classifier System, p. 1819. 

#411, Martin Butz, Kernel-based, Ellipsoidal Conditions in the Real-Valued XCS Classifier System, p. 1835. 

#557, Daan Wierstra, Faustino Gomez, Juergen Schmidhuber, Modeling Non-Linear Dynamical Systems with Evolino, p. 1795. 

Meta-heuristics and Local Search: 

#99, Walter Cedeno and John McLoughlin III, The Enhanced Evolutionary Tabu Search and its Application to the Quadratic Assignment Problem, p. 975. 

Real World Applications:                                                              (Return to Top)

#79, Yiu Fai Sit, Risto Miikkulainen, Learning Basic Navigation for Personal Satellite Assistant using Neuroevolution, p. 1913. 

#242, Jeffrey Ridder, Jason HandUber, Mission Planning for Joint Suppression of Enemy Air Defenses Using a Genetic Algorithm, p. 1929. 

#430, Deon Garrett, Dipankar Dasgupta, Rodrigo Silva, Joseph Vannucci, James Simien, Genetic Algorithms for the Sailor Assignment Problem, p. 1921. 

#550, Lucas Bradstreet, Luigi Barone, Lyndon While, Map-labelling with a Multi-objective Evolutionary Algorithm, p. 1937. 

Search-based Software Engineering: 

#108, Phil McMinn and Mike Holcombe, Evolutionary Testing of State-Based Programs, p. 1013. 

#57, Lionel Briand, Yvan Labiche, and Marwa Shousha, Stress Testing Real-Time Systems with Genetic Algorithms, p. 1021.