GECCO 2002 Late Breaking Papers: New York, NY, USA
Erick Cantú-Paz (Ed.): Late Breaking papers at the Genetic and Evolutionary Computation Conference (GECCO-2002), New York, USA, 9-13 July 2002. AAAI 2002
Jesús S. Aguilar-Ruiz, José Cristóbal Riquelme Santos, Isabel Ramos: Natural Evolutionary Coding: An Application to Estimating Software Development Projects. 1-8
Meghna Babbar, Barbara S. Minsker: A Multiscale Master-Slave Parallel Genetic Algorithm with Application to Groundwater Remediation Design. 9-16
Flavio Baronti, Antonina Starita: Enhancing Tournament Selection to Prevent Code Bloat in Genetic Programming. 17-22
Peter J. Bentley: Evolving Fractal Proteins. 23-30
Christian Blume, Wilfried Jakob: GLEAM - An Evolutionary Algorithm for Planning and Control Based on Evolution Strategy. 31-38
Mariusz Boryczka, Zbigniew J. Czech: Solving Approximation Problems by Ant Colony Programming. 39-46
Guido Cervone, Kenneth A. Kaufman, Ryszard S. Michalski: Recent Results from the Experimental Evaluation of the Learnable Evolution Model. 47-62
Jie Chi, Alok R. Chaturvedi, Ananth Grama, Shailendra Raj Mehta: Oceanus: A Distributed Web-Based Framework for Execution of Genetic Algorithms. 55-61
David A. Coley: Evolving Green Buildings. 62-68
Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Algorithm for Steiner Trees: New Results. 69-75
Joseph DeCicco, Michael L. Gargano, William Edelson: A Minimal Bidding Application (with Slack Time) Solved by a Genetic Algorithm where Element Costs Are Time Dependent. 76-82
Hugo de Garis, Jonathan Dinerstein, Ravichandra Sriram: A Reversible Evolvable Network Architecture and Methodology to Overcome the Heat Generation Problem in Molecular Scale Brain Building. 83-90
Judith Ellen Devaney, John G. Hagedorn: The Role of Genetic Programming in Describing the Microscopic Structure of Hydrating Plaster. 91-98
Jonathan Dinerstein, Hugo de Garis, Sabra Dinerstein, Nelson Dinerstein: TiPo - A New Dynamic Neural Net Model for Implementation in a Brain Building Machine. 99-103
Sabra Dinerstein, Jonathan Dinerstein, Hugo de Garis, Nelson Dinerstein: A Data Streaming Approach to Pattern Recognition with Evolvable Neural Networks. 104-108
Els I. Ducheyne, Robert R. De Wulf, Bernard De Baets: Using Linkage Learning for Forest Management Planning. 109-114
Jacqueline R. Dyer, Peter J. Bentley: PLANTWORLD: Population Dynamics in Contrasting Environments. 122-129
Toru Eguchi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata: Multiagent Systems with Symbiotic Learning and Evolution Using Genetic Network Programming. 130-137
Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Pourkashanian, Christopher W. Wilson: A Real Coded Genetic Algorithm for the Optimisation of Reaction Rate Parameters for Chemical Kinetic Modelling in a Perfectly Stirred Reactor. 138-145
Michael I. Ferguson, Ricardo Salem Zebulum, Didier Keymeulen, Adrian Stoica: An Evolvable Hardware Platform Based on DSP and FPTA. 145-152
Adina Magda Florea, Eugenia Kalisz, Cosmin Carabelea: Genetic Multi-Agent Planning of Self-Interested Agents. 153-160
Christian Gagné, Marc Parizeau: Open BEAGLE: A New Versatile C++ Framework for Evolutionary Computation. 161-168

Thomas B. George, ChanJin Chung: Applying Evolution Strategies to a University Timetabling System. 179-184
Marco César Goldbarg, Elizabeth Ferreira Gouvea, Francisco Dantas de Medeiros Neto: Piston Pump Mobile Unity Tour Problem: An Evolutionary View. 185-192
Jonatan Gómez, Dipankar Dasgupta: Using Competitive Operators and a Local Selection Scheme in Genetic Search. 193-200
William A. Greene: A Kernighan-Lin Local Improvement Heuristic that Softens Some Hard Problems in Genetic Algorithms. 201-206
Hans-Gerhard Groß, Nikolas Mayer: Evolutionary Testing in Component-Based Real-Time System Construction. 207-214
Patrick M. Haluptzok: Evolving Neural Network Architectures and Activation Functions and Learning Algorithms. 215-222
John Hart, Martin J. Shepperd: Evolving Software with Multiple Outputs and Multiple Populations. 223-227
Adam Hewgill: Real-Time Competitive Evolutionary Computation. 228-232
Gregory A. Holifield, Annie S. Wu: Population Genetics of Regulatory Genes: A Genetic Algorithm Model. 233-239
Bryant A. Julstrom: Manipulating Valid Solutions in a Genetic Algorithm for the Bounded-Diameter Minimum Spanning Tree Problem. 247-254
Tae-Cheol Jung, Joon Chung: Genetic Algorithms: Airline Fleet Assignment using Genetic Algorithm. 255-262
Charles L. Karr, Eric L. Wilson: A Self-Tuning Evolutionary Algorithm for Inverse Partial Differential Equations. 263-270
Charles L. Karr, Thomas A. Zeiler, Rajiv Mehrotra: Evolutionary Approach to Determining Critical Gust Loads on Aircraft Structures. 271-278
Hironobu Katagiri, Kotaro Hirasawa, Jinglu Hu, Junichi Murata: A New Model to Realize Variable Size Genetic Network Programming - A Case Study with the Tileworld Problem. 279-286
Gabriella Kókai, Zoltán Tóth, Szilvia Zvada: An Experimental Comparison of Genetic and Classical Concept Learning Methods. 287-294
Emin Erkan Korkmaz, Göktürk Üçoluk: Controlled Genetic Programming Search for Solving Deceptive Problems. 295-300
Thomas Krantz, Oscar Lindberg, Gunnar Thorburn, Peter Nordin: Programmatic Compression of Natural Video. 301-307
William B. Langdon: Random Search is Parsimonious. 308-315
Otavio Larsen, Alex Alves Freitas, Júlio C. Nievola: Constructing X-of-N Attributes with a Genetic Algorithm. 316-322
Tom Lenaerts, Anne Defaweux, Piet van Remortel, Bernard Manderick: Evaluation of a Simple Multi-Level Selection Model. 323-329
Andrew J. Marek, William D. Smart, Martin C. Martin: Learning Visual Feature Detectors for Obstacle Avoidance Using Genetic Programming. 330-336
Indira Mohanty, Sanjoy Das, Anil Pahwa, Jugal K. Kalita, Shekhar V. Gosavi: An Ant Colony Algorithm for the Restoration of Distribution Systems. 337-342
Sergio Daniel Montaño-Marañón, Hugo Terashima-Marín: Optimizing Weight and Torque of Squirrel-Cage Induction Motors Using Genetic Algorithms. 343-350
Hamid Movaffaghi, Olof Friberg: Structural Vibration Reduction Using Genetic Algorithm for Optimal Locations of Viscoelastic Dampers. 351-355
Olfa Nasraoui, Dipankar Dasgupta, Fabio A. González: An Novel Artificial Immune System Approach to Robust Data Mining. 356-363
Nattee Niparnan, Prabhas Chongstitvatana: An Improved Genetic Algorithm for the Inference of Finite State Machine. 364-369
Fernando E. B. Otero, Monique M. S. Silva, Alex Alves Freitas: Genetic Programming for Attribute Construction in Data Mining. 370-376
Oclair Prado, Fernando J. Von Zuben: A Step-by-Step Description of a Multi-Purpose Evolutionary Algorithm for Phylogenetic Tree Reconstruction. 377-383
Terry P. Riopka: Adapting Search Strategies to Induced Fitness Landscapes. 384-390
Alan J. Robinson, Lee Spector: Using Genetic Programming with Multiple Data Types and Automatic Modularization to Evolve Decentralized and Coordinated Navigation in Multi-Agent Systems. 391-396
Joseph A. Rothermich, Julian F. Miller: Studying the Emergence of Multicellularity with Cartesian Genetic Programming in Artificial Life. 397-403
Jun Sakuma, Shigenobu Kobayashi: k-tablet Structures and Crossover on Latent Variables for Real-Coded GA. 404-411
Yuhki Shiraishi, Kotaro Hirasawa, Jinglu Hu, Junichi Murata: The Basic Study of Artificial Ecosystem Models Using Network-Type Assembly-Like Language. 412-418
Abhishek Singh, David E. Goldberg, Ying-Ping Chen: Modified Linkage Learning Genetic Algorithm for Difficult Non-Stationary Problems. 419-426
Kiyoharu Tagawa, Hiromasa Haneda, Koji Mizutani: An Imanishian Genetic Algorithm: An Application to the Module Placement Problem. 427-434
Elko B. Tchernev: Stack-Correct Crossover Methods in Genetic Programming. 443-449
Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki: NCGA: Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems. 458-465
Gabriel Winter, Blas Galván, Silvia Alonso, Begoña González: Evolving from Genetic Algorithms to Flexible Evolution Agents. 466-473
Annie S. Wu, Han Yu, Kuo-Chi Lin, Guy A. Schiavone: Length Variation in Response to a Changing Environment. 482-489
Shengxiang Yang: Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms. 490-495

Tina Yu, Julian F. Miller: The Role of Neutral and Adaptive Mutation in an Evolutionary Search on the OneMax Problem. 512-519
Ricardo Salem Zebulum, Xin Guo, Adrian Stoica, Didier Keymeulen, Michael I. Ferguson: Case Studies on the Evolutionary Synthesis of Computational Circuits and Filters and Complete Fuzzy Systems. 520-527



