EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IIOliver 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 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 |
| 505 | |
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analysis antenna design applied approach approximation artificial Bridge between Probability cell mapping choice function cliques Coello color complexity components constraints convergence crossover defined detection Differential Evolution distance distribution diversity dorsal stream dynamic e-mail estimation evolutionary algorithms Evolutionary Computation evolved fitness function fitness value function evaluations genetic algorithm genetic programming global graph grid Harmony Search heuristic hyper-heuristic IEEE implementation individual initial input interaction iterations Markov chain matrix measure metaheuristic method MOEA/D MQHDE multi-objective optimization mutation nodes NSGA-II objective function obtained operator optimal control optimisation optimization problems optimum parameters Pareto front Particle Swarm Optimization performance pheromone pixel population proposed random represents RFID routing wasp SAMPARS sample Sch¨utze search space segment selection simulated simulated annealing solution solve Springer structure subset Table technique test problems tion topology truck update variables vector visual attention
Bibliografische Informationen
| Titel | EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II Band 175 von Advances in Intelligent Systems and Computing |
| Herausgeber | Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand |
| Ausgabe | illustriert |
| Verlag | Springer Science & Business Media, 2012 |
| ISBN | 3642315194, 9783642315190 |
| Länge | 508 Seiten |
| Zitat exportieren | BiBTeX EndNote RefMan |