源于自然的并行问题解决 - PPSN IX /会议录LNCS-4193

源于自然的并行问题解决 - PPSN IX /会议录LNCS-4193
作 者: Thomas Philip Runarsson
出版社: 崇文书局(原湖北辞书出版社)
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作者简介

暂缺《源于自然的并行问题解决 - PPSN IX /会议录LNCS-4193》作者简介

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.).

图书目录

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