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Search Methodologies : Introductory Tutorials in Optimization and Decision Support Techniques

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Cover of 'Search Methodologies : Introductory Tutorials in Optimization and Decision Support Techniques'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Classical Techniques
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    Chapter 3 Integer Programming
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    Chapter 4 Genetic Algorithms
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    Chapter 5 Genetic Programming
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    Chapter 6 Tabu Search
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    Chapter 7 Simulated Annealing
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    Chapter 8 Variable Neighborhood Search
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    Chapter 9 Constraint Programming
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    Chapter 10 Multi-Objective Optimization
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    Chapter 11 Complexity Theory and the No Free Lunch Theorem
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    Chapter 12 Machine Learning
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    Chapter 13 Artificial Immune Systems
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    Chapter 14 Swarm Intelligence
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    Chapter 15 Fuzzy Reasoning
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    Chapter 16 Rough Set Based Decision Support
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    Chapter 17 Hyper-Heuristics
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    Chapter 18 Approximation Algorithms
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    Chapter 19 Fitness Landscapes
Attention for Chapter 16: Rough Set Based Decision Support
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