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Search Methodologies

Overview of attention for book
Cover of 'Search Methodologies'

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 Scatter Search
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    Chapter 6 Genetic Programming
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    Chapter 7 Artificial Immune Systems
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    Chapter 8 Swarm Intelligence
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    Chapter 9 Tabu Search
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    Chapter 10 Simulated Annealing
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    Chapter 11 GRASP: Greedy Randomized Adaptive Search Procedures
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    Chapter 12 Variable Neighborhood Search
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    Chapter 13 Very Large-Scale Neighborhood Search
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    Chapter 14 Constraint Programming
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    Chapter 15 Multi-objective Optimization
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    Chapter 16 Sharpened and Focused No Free Lunch and Complexity Theory
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    Chapter 17 Machine Learning
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    Chapter 18 Fuzzy Reasoning
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    Chapter 19 Rough-Set-Based Decision Support
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    Chapter 20 Hyper-heuristics
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    Chapter 21 Approximations and Randomization
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    Chapter 22 Fitness Landscapes
Attention for Chapter 17: Machine Learning
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