科学家及工程师演化算法导论INTRODUCTION TO GENETIC ALGORITHMS FOR SCIENTISTS AND ENGINEERS, AN
分類: 图书,进口原版书,科学与技术 Science & Techology ,
作者: David A. Coley 著
出 版 社: 东南大学出版社
出版时间: 1999-12-1字数:版次: 1页数: 227印刷时间: 1999/12/01开本:印次: 1纸张: 胶版纸I S B N : 9789810236021包装: 精装内容简介
Designed for those who are using GAs as a way to help solve a range of difficult modelling problems. Designed for most practicing scientists and engineers, whatever their field and however rusty their mathematics and programming might be.
目录
Chapter 1 Introduction
1.1 Some Applications of Genetic Algorithms
1.2 Search Spaces
1.3 Genetic Algorithms
1.4 An Example
1.5 Summary
1.6 Exercies
Chapter 2 Improving the Algorithm
2.1 Comparison of Biological and GA Terminology
2.2 Robustness
2.3 Non-integer Unknowns
2.4 Multiparameter Problems
2.5 Mutation
2.6 Selection
2.7 Elitism
2.8 Crossover
2.9 Initialisation
2.10 The Little Genetic Algorithm
2.11 Other Evolutionary Approaches
2.12 Summary
2.13 Exercises
Chapter 3 Foundations
3.1 Historical Test Functions
3.2 Schema Theory
3.3 Schema Processing
3.4 Other Theoretical Approaches
3.5 Summary
3.6 Exercises
Chapter 4 Advanced Operators
4.1 Combinatorial Optimisation
4.2 Locating Alternative Solutions Using Niches and Species
4.3 Constraints
4.4 Multicriteria Optimisation
4.5 Hybrid Algorithms
4.6 Alternative Selection Methods
4.7 Alternative Crossover Methods
4.8 Considerations of Speed
4.9 Other Encodings
4.10 Meta GAs
4.11 Mutation
4.12 Parallel Genetic Algorithms
4.13 Summary
4.14 Exercises
Chapter 5 Writing a Genetic Algorithm
Chapter 6 Applications of Genetic Algorithms
6.1 Image Registration
6.2 Recursive Prediction of Natural Light Levels
6.3 Water Network Design
6.4 Ground-State Energy of the + J Spin Glass
6.5 Estimation of the Optical Parameters of Liquid Crystals
6.6 Design of Energy-Efficient Buildings
6.7 Human Judgement as the Fitness Function
6.8 Multi-Objective Network Rehabilitation by Messy GA
Appendix A Resources and Paper-Based Resources
Appendix B Complete Listing of LGADOS.BAS
References
Index