源于自然的并行问题解决 - PPSN IX /会议录LNCS-4193

出版时间：2006-12  出版社：湖北辞书出版社  作者：Runarsson, Thomas Philip; Beyer, Hans-Georg; Merelo-Guervos, Juan J.  页数：1061  

内容概要

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.）.

书籍目录

Theory　Evolutionary Optimization in Spatio-temporal Fitness　Landscapes　Cumulative Step Length Adaptation on Ridge Functions　General Lower Bounds for Evolutionary Algorithms　On the Ultimate Convergence Rates for Isotropic Algorithms　and the Best Choices Among Various Forms of Isotropy　Mixed-Integer NK Landscapes　How Comma Selection Helps with the Escape　from Local Optima　When Do Heavy-Tail Distributions Help?　Self-adaptation on the Ridge Function Class: First Results　for the Sharp Ridge　Searching for Balance: Understanding Self-adaptation　on Ridge Functions　Diversity Loss in General Estimation of Distribution　Algorithms　Information Perspective of Optimization　A Novel Negative Selection Algorithm with an Array of Partial　Matching Lengths for Each Detector　Hierarchical BOA, Cluster Exact Approximation, and Ising　Spin Glasses　Towards an Adaptive Multimeme Algorithm for Parameter　Optimisation Suiting the Engineers' Needs　Niche Radius Adaptation in the CMA-ES Niching Algorithm　A Tabu Search Evolutionary Algorithm for Solving Constraint　Satisfaction Problems　cAS: Ant Colony Optimization with Cunning Ants　Genetic Algorithm Based on Independent Component Analysis　for 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