Advances in Metaheuristics for Hard Optimization

Editors:

ISBN: 978-3-540-72959-4 (Print) 978-3-540-72960-0 (Online)

Table of contents (21 chapters)

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  1. Front Matter

    Pages I-XV

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    Book Chapter

    Pages 1-22

    Comparison of Simulated Annealing, Interval Partitioning and Hybrid Algorithms in Constrained Global Optimization

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    Book Chapter

    Pages 23-37

    Four-bar Mechanism Synthesis for n Desired Path Points Using Simulated Annealing

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    Book Chapter

    Pages 39-67

    “MOSS-II” Tabu/Scatter Search for Nonlinear Multiobjective Optimization

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    Book Chapter

    Pages 69-85

    Feature Selection for Heterogeneous Ensembles of Nearest-neighbour Classifiers Using Hybrid Tabu Search

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    Book Chapter

    Pages 87-110

    A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation

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    Book Chapter

    Pages 111-136

    An Ant-bidding Algorithm for Multistage Flowshop Scheduling Problem: Optimization and Phase Transitions

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    Book Chapter

    Pages 137-152

    Dynamic Load Balancing Using an Ant Colony Approach in Micro-cellular Mobile Communications Systems

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    Book Chapter

    Pages 153-177

    New Ways to Calibrate Evolutionary Algorithms

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    Book Chapter

    Pages 179-198

    Divide-and-Evolve: a Sequential Hybridization Strategy Using Evolutionary Algorithms

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    Book Chapter

    Pages 199-221

    Local Search Based on Genetic Algorithms

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    Book Chapter

    Pages 223-250

    Designing Efficient Evolutionary Algorithms for Cluster Optimization: A Study on Locality

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    Book Chapter

    Pages 251-261

    Aligning Time Series with Genetically Tuned Dynamic Time Warping Algorithm

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    Book Chapter

    Pages 263-292

    Evolutionary Generation of Artificial Creature’s Personality for Ubiquitous Services

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    Book Chapter

    Pages 293-315

    Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems

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    Book Chapter

    Pages 317-327

    Coevolutionary Genetic Algorithm to Solve Economic Dispatch

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    Book Chapter

    Pages 329-351

    An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem

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    Book Chapter

    Pages 353-363

    Optimizing Stochastic Functions Using a Genetic Algorithm: An Aeronautic Military Application

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    Book Chapter

    Pages 365-395

    Learning Structure Illuminates Black Boxes – An Introduction to Estimation of Distribution Algorithms

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    Book Chapter

    Pages 397-414

    Making a Difference to Differential Evolution

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    Book Chapter

    Pages 415-438

    Hidden Markov Models Training Using Population-based Metaheuristics

  22. Back Matter

    Pages 475-480

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