源于自然的并行问题解决 - PPSN IX /会议录LNCS-4193: Parallel problem solving from nature - PPSN IX
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作者： Thomas Philip Runarsson 著
出 版 社： 湖北辞书出版社
出版时间： 2006-12-1字数：版次： 1页数： 1061印刷时间： 2006/12/01开本：印次：纸张： 胶版纸I S B N ： 9783540389903包装： 平装内容简介
The LNCS series reports state-of-the-art results in computer science research，development，and education，at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community，with numerous individuals，as well as with prestigious organizations and societies，LNCS has grown into the most comprehensive computer science research forum available.
The scope of LNCS，including its subseries LNAI，spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes.
—proceedings （published in time for the respective conference）
—post-proceedings （consisting of thoroughly revised final full papers）
—research monographs（which may be based on outstanding PhD work，research projects，technical reports，etc.）.
目录
Theory
Evolutionary Optimization in Spatio-temporal FitnessLandscapes
Cumulative Step Length Adaptation on Ridge Functions
General Lower Bounds for Evolutionary Algorithms
On the Ultimate Convergence Rates for Isotropic Algorithmsand the Best Choices Among Various Forms of Isotropy
Mixed-Integer NK Landscapes
How Comma Selection Helps with the Escapefrom Local Optima
When Do Heavy-Tail Distributions Help?
Self-adaptation on the Ridge Function Class: First Resultsfor the Sharp Ridge
Searching for Balance: Understanding Self-adaptationon Ridge Functions
Diversity Loss in General Estimation of DistributionAlgorithms
Information Perspective of Optimization
A Novel Negative Selection Algorithm with an Array of PartialMatching Lengths for Each Detector
Hierarchical BOA, Cluster Exact Approximation, and IsingSpin Glasses
Towards an Adaptive Multimeme Algorithm for ParameterOptimisation Suiting the Engineers' Needs
Niche Radius Adaptation in the CMA-ES Niching Algorithm
A Tabu Search Evolutionary Algorithm for Solving ConstraintSatisfaction Problems
cAS: Ant Colony Optimization with Cunning Ants
Genetic Algorithm Based on Independent Component Analysisfor Global Optimization
hnproved Squeaky Wheel Optimisation for Driver Scheduling
A Local Genetic Algorithm for Binary-Coded Problems
Hill Climbers and Mutational Heuristics in Hyperheuristics
A Multi-level Memetic/Exact Hybrid Algorithm for the Still Life Problem
Transmission Loss Reduction Based on FACTS and Bacteria Foraging Algorithm
Substructural Neighborhoods for Local Search in the Bayesian Optimization Algorithm
……
Author Index
