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Advances in Metaheuristics for Hard Optimization

Many advances have been made recently in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general-purpos...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Siarry, Patrick (Editor ), Michalewicz, Zbigniew (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Natural Computing Series,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization
  • Four-bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing
  • "MOSS-II" Tabu/Scatter Search for Nonlinear Multiobjective Optimization
  • Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search
  • A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation
  • An Ant-bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions
  • Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems
  • New Ways to Calibrate Evolutionary Algorithms
  • Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms
  • Local Search Based on Genetic Algorithms
  • Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality
  • Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm
  • Evolutionary Generation of Artificial Creature's Personality for Ubiquitous Services
  • Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems
  • Coevolutionary Genetic Algorithm to Solve Economic Dispatch
  • An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem
  • Optimizing Stochastic Functions Using a Genetic Algorithm: An Aeronautic Military Application
  • Learning Structure Illuminates Black Boxes - An Introduction to Estimation of Distribution Algorithms
  • Making a Difference to Differential Evolution
  • Hidden Markov Models Training Using Population-based Metaheuristics
  • Inequalities and Target Objectives for Metaheuristic Search - Part I: Mixed Binary Optimization.