Overview

This book constitutes selected best papers from the 10th International Conference on Artificial Evolution, EA 2011, held in Angers, France, in October 2011. Initially, 33 full papers and 10 post papers were carefully reviewed and selected from 64 submissions. This book presents the 19 best papers selected from these contributions. The papers are organized in topical sections on ant colony optimization; multi-objective optimization; analysis; implementation and robotics; combinatorial optimization; learning and parameter tuning; new nature inspired models; probabilistic algorithms; theory and evolutionary search; and applications.

Full Product Details

Author:   Jin-Kao Hao ,  Pierrick Legrand ,  Pierre Collet ,  Nicolas Monmarché
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2012 ed.
Volume:   7401
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642355325

ISBN 10:   3642355323
Pages:   229
Publication Date:   17 November 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Ant Colony Optimization.- An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.- Multi Objective Optimization.- A Surrogate-Based Intelligent Variation Operator for Multiobjective Optimization.- The Relationship between the Covered Fraction, Completeness and Hypervolume Indicators.- Analysis A Rigorous Runtime Analysis for Quasi-Random Restarts and Decreasing Stepsize.- Local Optima Networks with Escape Edges.- Visual Analysis of Population Scatterplots.- Implementation and Robotics An On-Line On-Board Distributed Algorithm for Evolutionary Robotics.- Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm.- Two Ports of a Full Evolutionary Algorithm onto GPGPU.- Combinatorial Optimization.- A Multilevel Tabu Search with Backtracking for Exploring Weak Schur Numbers.- An Improved Memetic Algorithm for the Antibandwidth Problem.- Learning and Parameter Tuning Adaptive Play in a Pollution Bargaining Game.- Learn-and-Optimize: A Parameter Tuning Framework for Evolutionary AI Planning.- New Nature Inspired Models.- A Model Based on Biological Invasions for Island Evolutionary Algorithms.- A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme.- Probabilistic Algorithms Evolution of Multisensory Integration in Large Neural Fields.- Reducing the Learning Time of Tetris in Evolution Strategies.- Theory and Evolutionary Search.- Black-Box Complexity: Breaking the O(n log n) Barrier of LeadingOnes.- Applications.- Imperialist Competitive Algorithm for Dynamic Optimization of Economic Dispatch in Power Systems.

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions