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Downloadable Instructor’s Solution Manual for Evolutionary Optimization Algorithms, Dan Simon, ISBN: 9780470937419, Instructor’s Solution Manual (Complete) Download
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Table of Contents
Acknowledgments xxi
Acronyms xxiii
List of Algorithms xxvii
Pert I: Introduction to Evolutionary Optimization
1 Introduction 1
2 Optimization 11
Part II: Classic Evoluntionary Algorithms
3 Generic Algorithms 35
4 Mathematical Models of Genetic Algorithms 63
5 Evolutionary Programming 95
6 Evolution Strategies 117
7 Genetic Programming 141
8 Evolutionary Algorithms Variations 179
Part III: More Recent Evolutionary Algorithms
9 Simulated Annealing 223
10 Ant Colony Optimization 241
11 Particle Swarm Optimization 265
12 Differential Evolution 293
13 Estimation of Distribution Algorithms 313
14 Biogeography-Based Optimization 351
15 Cultural Algorithms 377
16 Oppostion-Based Learning 397
17 Other Evolutionary Algorithms 421
Part IV: Special Type of Optimization Problems
18 Combinatorial Optimization 449
19 Constrained Optimization 481
20 Multi-Objective Optimization 517
21 Expensive, Noisy and Dynamic Fitness Functions 563
Appendices
A Some Practical Advice 607
B The No Free Luch Therorem and Performance Testing 613
C Benchmark Optimization Functions 641