2014

Search Methodologies

Introductory Tutorials in Optimization and Decision Support Techniques

Editors:

ISBN: 978-1-4614-6939-1 (Print) 978-1-4614-6940-7 (Online)

Table of contents (22 chapters)

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  1. Front Matter

    Pages i-xiv

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    Book Chapter

    Pages 1-17

    Introduction

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    Book Chapter

    Pages 19-65

    Classical Techniques

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    Book Chapter

    Pages 67-92

    Integer Programming

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    Book Chapter

    Pages 93-117

    Genetic Algorithms

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    Book Chapter

    Pages 119-141

    Scatter Search

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    Book Chapter

    Pages 143-185

    Genetic Programming

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    Book Chapter

    Pages 187-211

    Artificial Immune Systems

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    Book Chapter

    Pages 213-242

    Swarm Intelligence

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    Book Chapter

    Pages 243-263

    Tabu Search

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    Book Chapter

    Pages 265-285

    Simulated Annealing

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    Book Chapter

    Pages 287-312

    GRASP: Greedy Randomized Adaptive Search Procedures

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    Book Chapter

    Pages 313-337

    Variable Neighborhood Search

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    Book Chapter

    Pages 339-367

    Very Large-Scale Neighborhood Search

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    Book Chapter

    Pages 369-401

    Constraint Programming

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    Book Chapter

    Pages 403-449

    Multi-objective Optimization

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    Book Chapter

    Pages 451-476

    Sharpened and Focused No Free Lunch and Complexity Theory

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    Book Chapter

    Pages 477-517

    Machine Learning

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    Book Chapter

    Pages 519-556

    Fuzzy Reasoning

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    Book Chapter

    Pages 557-609

    Rough-Set-Based Decision Support

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    Book Chapter

    Pages 611-638

    Hyper-heuristics

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