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Artificial Evolution 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers
Title
Artificial Evolution [electronic resource] : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers / edited by Jin-Kao Hao, Pierrick Legrand, Pierre Collet, Nicolas Monmarché, Evelyne Lutton, Marc Schoenauer.
ISBN
9783642355332
Edition
1st ed. 2012.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Physical Description
1 online resource (XVI, 229 p.) 65 illus.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
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Format
Books / Online
Language
English
Added to Catalog
August 11, 2023
Series
Theoretical Computer Science and General Issues, 7401
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.
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