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Nicolas Monmarché, El-Ghazali Talbi, Pierre Collet, Marc Schoenauer, Evelyne Lutton e.a.

Artificial Evolution

Name: Artificial Evolution
Author: Nicolas Monmarché

8th International Conference, Evolution Artificielle, EA 2007 Tours, France, October 29-31, 2007, Revised Selected Papers

Paperback Engels 2008 2008e druk 9783540793045

60,99

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Samenvatting

This book is based on the best papers presented at the 8th Conference on Arti- 1 ?cial Evolution, EA 2007, held in Tours (France). Previous EA meetings took place in Lille (2005), Marseille (2003), Le Creusot (2001), Dunkerque (1999), Nimes (1997), Brest (1995), and Toulouse (1994). Authors were invited to present original work relevant to arti?cial evo- tion, including, but not limited to: evolutionary computation, evolutionary - timization, co-evolution, arti?cial life, population dynamics, theory, algori- mics and modeling, implementations, application of evolutionary paradigms to the real world (industry, biosciences, ...), other biologically inspired paradigms (swarm,arti?cialants,arti?cialimmunesystems,...),memeticalgorithms,mul- objective optimization, constraint handling, parallel algorithms, dynamic op- mization, machine learning and hybridization with other soft computing techniques. Papers submitted to the conference were reviewed by at least three members of the International ProgramCommittee, and 30 out of the 62 submissions were selected to be presented at the Conference. As for the previous editions (see, in the samecollection,volumes1063,1363,1829,2310,2936,and3871),27ofthose paperswere revisedaccordingto the reviewers’comments,and arenowincluded in this volume, resulting in a 43.5% acceptance rate for this volume.

Specificaties

ISBN13:9783540793045

Taal:Engels

Bindwijze:paperback

Aantal pagina's:330

Uitgever:Springer Berlin Heidelberg

Druk:2008

Hoofdrubriek:Programmeren, Computer en informatica

Serie:Lecture Notes in Computer Science

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Inhoudsopgave

Genetic Programming.- Treating Noisy Data Sets with Relaxed Genetic Programming.- Cost-Benefit Investigation of a Genetic-Programming Hyperheuristic.- Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming.- Generating SAT Local-Search Heuristics Using a GP Hyper-Heuristic Framework.- Swarm Intelligence.- Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO.- Mimetic Variations on Stigmergic Swarm Paintings.- Minimal and Necessary Conditions for the Emergence of Species-Specific Recognition Patterns.- Artificial Ants for the Optimization of Virtual Keyboard Arrangement for Disabled People.- Combinational and Multi-objective Optimization.- Self-organization and Evolution Combined to Address the Vehicle Routing Problem.- An Evolutionary Algorithm for the Block Stacking Problem.- A Study of Evaluation Functions for the Graph K-Coloring Problem.- Genetic Branch-and-Bound or Exact Genetic Algorithm?.- Aerodynamic Topology Optimisation Using an Implicit Representation and a Multiobjective Genetic Algorithm.- Direct and Indirect Representations for Evolutionary Design of Objects.- Adaptive and Assortative Mating Scheme for Evolutionary Multi-Objective Algorithms.- Theory in GA and ES.- The Cooperative Royal Road: Avoiding Hitchhiking.- Conditioning, Halting Criteria and Choosing ?.- Log-Linear Convergence and Optimal Bounds for the (1?+?1)-ES.- Applications of EAs.- Evolution Strategies for Laser Pulse Compression.- Fully Three-Dimensional Tomographic Evolutionary Reconstruction in Nuclear Medicine.- A Study of Crossover Operators for Gene Selection of Microarray Data.- Searching for Glider Guns in Cellular Automata: Exploring Evolutionary and Other Techniques.- A Genetic Algorithm for Generating Improvised Music.- Unsupervised Learning of Echo State Networks: A Case Study in Artificial Embryogeny.- Enhanced Genetic Algorithm with Guarantee of Feasibility for the Unit Commitment Problem.- On the Design of Adaptive Control Strategies for Evolutionary Algorithms.- Improvement of Intelligent Optimization by an Experience Feedback Approach.

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