Title Statements
- Full title :Genetic algorithms in engineering systems / edited by A.M.S. Zalzala and P.J. Fleming.
Edition Statements
- Publication Date:1997.
Publication Statements
- Publisher(s):Institution of Electrical Engineers
- Place of Publication:London
- Language:eng
- Publication Date:1997.
The Physical Object
- Description:1 online resource (281 pages) : : illustrations
Edition Identifiers
- ISBN:9781849193511, 1849193517
- oclc:ocn861527792
- LC Classification:TA345
- Dewey Decimal:620/.00285
Table of Contents
Cover -- Half-title -- Title -- Copyright -- Contents -- 1 Introduction to genetic algorithms A. Chipperfield -- 1.1 What are genetic algorithms? -- 1.1.1 Overview of GAs -- 1.1.2 GAs versus traditional methods -- 1.2 Major elements of the GA -- 1.2.1 Population representation and initialisation
1.2.2 The objective and fitness functions 1.2.3 Selection -- 1.2.3.1 Roulette wheel selection methods -- 1.2.3.2 Stochastic universal sampling -- 1.2.4 Crossover (recombination) -- 1.2.4.1 Multipoint crossover -- 1.2.4.2 Uniform crossove -- 1.2.4.3 Other crossover operators
1.2.4.4 Intermediate recombination 1.2.4.5 Line recombination -- 1.2.4.6 Discussion -- 1.2.5 Mutation -- 1.2.6 Reinsertion -- 1.2.7 Termination of the GA -- 1.3 Other evolutionary algorithms -- 1.4 Parallel GAs -- 1.4.1 Global GAs -- 1.4.2 Migration GAs
1.4.3 Diffusion GAs 1.5 GAs for engineering systems -- 1.6 Example application: gas turbine engine control -- 1.6.1 Problem specification -- 1.6.2 EA implementation -- 1.6.3 Results -- 1.6.4 Discussion -- 1.7 Concluding remarks -- 1.8 References
2 Levels of evolution for control systems J.J. Grefenstette2.1 Introduction -- 2.1.1 Evolutionary algorithms -- 2.1.2 Contr…
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