Artificial Evolution : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers

Artificial Evolution : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011, Revised Selected Papers

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 se...

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Détails bibliographiques
Auteurs principaux : Hao Jin-Kao (Directeur de publication), Legrand Pierrick (Directeur de publication), Collet Pierre (Directeur de publication), Monmarché Nicolas (Directeur de publication), Lutton Evelyne (Directeur de publication), Schoenauer Marc (Directeur de publication)
Format : Livre
Langue : anglais
Titre complet : Artificial Evolution : 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.
Publié : Berlin, Heidelberg : Springer Berlin Heidelberg , 2012
Cham : Springer Nature
Collection : Theoretical computer science and general issues (Online)
Accès en ligne : Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr
Sujets :
Computer Science
Artificial Intelligence (incl. Robotics)
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Numeric Computing
Pattern Recognition
Information Storage and Retrieval
Artificial Intelligence.
Algorithms
Theory of Computation
Numerical Analysis
Automated Pattern Recognition
Documents associés : Autre format: Artificial Evolution
Autre format: Artificial Evolution
  • 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.