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Artificial Evolution: 12th International Conference, Evolution Artificielle, EA 2015, Lyon, France, October 26-28, 2015. Revised Selected Papers 1st ed. 2016 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 249 pages, height x width: 235x155 mm, weight: 4044 g, 93 Illustrations, black and white; XII, 249 p. 93 illus., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 9554
  • Izdošanas datums: 20-Mar-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331931470X
  • ISBN-13: 9783319314709
  • Mīkstie vāki
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  • Formāts: Paperback / softback, 249 pages, height x width: 235x155 mm, weight: 4044 g, 93 Illustrations, black and white; XII, 249 p. 93 illus., 1 Paperback / softback
  • Sērija : Theoretical Computer Science and General Issues 9554
  • Izdošanas datums: 20-Mar-2016
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 331931470X
  • ISBN-13: 9783319314709
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Artificial Evolution, EA 2015, held in Lyon, France, in October 2015.





The 18 revised papers were carefully reviewed and selected from 31 submissions. The focus of the conference is on following topics: Evolutionary Computation, Evolutionary Optimization, Co-evolution, Artificial Life, Population Dynamics, Theory, Algorithmics and Modeling, Implementations, Application of Evolutionary Paradigms to the Real World, Dynamic Optimization, Machine Learning and hybridization with other soft computing techniques.
The Multi-Funnel Structure of TSP Fitness Landscapes: A Visual Exploration
1(13)
Gabriela Ochoa
Nadarajen Veerapen
Darrell Whitley
Edmund K. Burke
Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes
14(15)
Hernan Aguirre
Saul Zapotecas
Arnaud Liefooghe
Sebastien Verel
Kiyoshi Tanaka
Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption
29(15)
Rolando Armas
Hernan Aguirre
Saul Zapotecas-Martinez
Kiyoshi Tanaka
How to Mislead an Evolutionary Algorithm Using Global Sensitivity Analysis
44(14)
Thomas Chabin
Alberto Tonda
Evelyne Lutton
Quasi-random Numbers Improve the CMA-ES on the BBOB Testbed
58(13)
Olivier Teytaud
Progressive Differential Evolution on Clustering Real World Problems
71(12)
Vincent Berthier
Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies
83(14)
Christopher Jankee
Sebastien Verel
Bilel Derbel
Cyril Fonlupt
Combining Mutation and Recombination to Improve a Distributed Model of Adaptive Operator Selection
97(12)
Jorge A. Soria-Alcaraz
Gabriela Ochoa
Adrien Goeffon
Frederic Lardeux
Frederic Saubion
Parameter Setting for Multicore CMA-ES with Large Populations
109(14)
Nacim Belkhir
Johann Dreo
Pierre Saveant
Marc Schoenauer
Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming
123(13)
Denis Robilliard
Cyril Fonlupt
SGE: A Structured Representation for Grammatical Evolution
136(13)
Nuno Lourenco
Francisco B. Pereira
Ernesto Costa
Greedy Semantic Local Search for Small Solutions
149(14)
Robyn Ffrancon
Marc Schoenauer
Effects of Cooperation in a Bioinspired Multi-agent Autonomous System for Solving Optimization Problems
163(14)
Marcus dos Santos
Denise Souza
Henrique E. Borges
Rogerio M. Gomes
Patrick Siarry
Novelty-Driven Particle Swarm Optimization
177(14)
Diana F. Galvao
Joel Lehman
Paulo Urbano
How a Model Based on P-temporal Petri Nets Can Be Used to Study Aggregation Behavior
191(14)
Fatima Debbat
Nicolas Monmarche
Pierre Gaucher
Mohamed Slimane
A Distributed Hybrid Algorithm for the Graph Coloring Problem
205(14)
Ines Sghir
Jin-Kao Hao
Ines Ben Jaafar
Khaled Ghedira
Variance Reduction in Population-Based Optimization: Application to Unit Commitment
219(15)
Jean-Joseph Christophe
Jeremie Decode
Jialin Liu
Olivier Teytaud
On the Codimension of the Set of Optima: Large Scale Optimisation with Few Relevant Variables
234(15)
Vincent Berthier
Olivier Teytaud
Author Index 249