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Parallel Problem Solving from Nature - PPSN VIII(源自自然的并行题解—PPSN VIII/会议录)

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Parallel Problem Solving from Nature - PPSN VIII(源自自然的并行题解—PPSN VIII/会议录)

最 低 价:¥1078.00

定 价:¥1197.80

作 者:Xin Yao 著

出 版 社:北京燕山出版社

出版时间:2004-11-1

I S B N:3540230920

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内容简介

This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004.
The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.

作者简介

目录

Theory
On the Quality Gain of (1,)-ES Under Fitness Noise
Fitness Distributions and GA Hardness
Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes
Evolutionary Algorithms with On-the-Fly Population Size Adjustment
Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT
Bridging the Gap Between Theory and Practice
A Reduced Markov Model of GAs Without the Exact Transition Matrix
Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem
On the Importance of Information Speed in Structured Populations
Estimating the Number of Solutions for SAT Problems
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover
An Analysis of the Effectiveness of Multi-parent Crossover
On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
New Algorithms
LS-CMA-ES: A Second-Order Algorithm for Covarianee Matrix Adaptation
Learning Probabilistic Tree Grammars for Genetic Programming
Sequential Sampling in Noisy Environments
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model
Spread of Vector Borne Diseases in a Population with Spatial Structure
Hierarchical Genetic Algorithms
……
Applications
Multi-objective Optimisation
Co-evolution
Robotics and Multi-agent Systems
Learning Classifier Systems and Data Mining
Author Index

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