Genetic and Evolutionary Computation - GECCO 2004 遺傳與尋優(yōu)計算-GECCO2004/會議錄 第1部分

內(nèi)容概要

The two volume set LNCS 3102/3103 constitutes the refereed proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2004, held in Seattle, WA, USA, in June 2004.    The 230 revised full papers and 104 poster papers presented were carefully reviewed and selected from 460 submissions. The papers are organized in topical sections on artificial life, adaptive behavior, agents, and ant colony optimization; artificial immune systems, biological applications; coevolution; evolutionary robotics; evolution strategies and evolutionary programming; evolvable hardware; genetic algorithms; genetic programming; learning classifier systems; real world applications; and search-based software engineering.

書籍目錄

Volume I　A-Life, Adaptive Behavior, Agents, and Ant Colony Optimization　　Efficient Evaluation Functions for Multi-rover Systems　　A Particle Swarm Model of Organizational Adaptation　　Finding Maximum Cliques with Distributed Ants　　Ant System for the k-Cardinality Tree Problem　　A Hybrid Ant Colony Optimisation Technique　for Dynamic Vehicle Routing　　Cooperative Problem Solving Using an Agent-Based Market　　Cultural Evolution for Sequential Decision Tasks:　Evolving Tic-Tac-Toe Players in Multi-agent Systems　　Artificial Life and Natural Intelligence　　Bluenome: A Novel Developmental Model of Artificial Morphogenesis...　　Adaptively Choosing Neighbourhood Bests Using Species in a　Particle Swarm Optimizer for Multimodal Function Optimization　　Better Spread and Convergence: Particle Swarm Multiobjective　Optimization Using the Maximin Fitness Function　　Evolving a Self-Repairing, Self-Regulating, French Flag Organism　　The Kalman Swarm (A New Approach to Particle Motion　in Swarm Optimization)　　Adaptive and Evolvable Network Services　　Grammatical Swarm　　A New Universal Cellular Automaton Discovered　by Evolutionary Algorithms　　An Interactive Artificial Ant Approach　to Non-photorealistic Rendering　　Automatic Creation of Team-Control Plans Using an Assignment　Branch in Genetic Programming　　Implications of Epigenetic Learning Via Modification of Histones　on Performance of Genetic Programming　　Using Clustering Techniques to Improve the Performance of a　Multi-objective Particle Swarm Optimizer　　SWAF: Swarm Algorithm Framework for Numerical Optimization　　A-Life, Adaptive Behavior, Agents, and Ant Colony　　Autonomous Agent for Multi-objective Optimization　　An Evolved Autonomous Controller for Satellite Task Scheduling　　Multi-agent Foreign Exchange Market Modelling Via GP……Author Index

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