Artificial Evolution [E-Book] : 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.
Collet, Pierre.
Hao, Jin-Kao. / Legrand, Pierrick. / Lutton, Evelyne. / Monmarché, Nicolas. / Schoenauer, Marc.
Berlin, Heidelberg : Springer, 2012
XVI, 229 p. 65 illus. digital.
Lecture notes in computer science ; 7401
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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.