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How to solve it : modern heuristics

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Cover of 'How to solve it : modern heuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Why Are Some Problems Difficult to Solve?
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    Chapter 3 Basic Concepts
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    Chapter 4 Traditional Methods — Part 1
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    Chapter 5 Traditional Methods — Part 2
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    Chapter 6 Escaping Local Optima
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    Chapter 7 An Evolutionary Approach
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    Chapter 8 Designing Evolutionary Algorithms
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    Chapter 9 The Traveling Salesman Problem
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    Chapter 10 Constraint-Handling Techniques
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    Chapter 11 Tuning the Algorithm to the Problem
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    Chapter 12 Time-Varying Environments and Noise
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    Chapter 13 Neural Networks
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    Chapter 14 Fuzzy Systems
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    Chapter 15 Coevolutionary Systems
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    Chapter 16 Multicriteria Decision-Making
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    Chapter 17 Hybrid Systems
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    Chapter 18 Summary
Attention for Chapter 12: Time-Varying Environments and Noise
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