EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

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Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand
Springer Science & Business Media, 14.08.2012 - 508 Seiten
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This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects.
The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements
may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.
 

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Inhalt

Genetic Programming
38
Evolutionary Multiobjective Optimization
87
Combinatorial Optimization
169
Probabilistic Modeling and Optimization for Emerging Networks
204
Hybrid Probabilistic Models for Real Parameter Optimization and Their Applications
219
Evolutionary Computation for Vision Graphics and Robotics
283
Realworld Application of Bioinspired Metaheuristics
413
Author Index
505
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