An Introduction to Genetic Algorithms for Scientists and EngineersWorld Scientific, 1999 - 227 Seiten This invaluable book has been designed to be useful to most practising scientists and engineers, whatever their field and however rusty their mathematics and programming might be. The approach taken is largely practical, with algorithms being presented in full and working code (in BASIC, FORTRAN, PASCAL AND C) included on a floppy disk to help the reader get up and running as quickly as possible. The text could also be used as part of an undergraduate course on search and optimisation. Student exercises are included at the end of several of the chapters, many of which are computer-based and designed to encourage exploration of the method. |
Inhalt
Introduction | 1 |
1 | 7 |
Improving the Algorithm | 17 |
Foundations | 35 |
2 | 41 |
4 | 57 |
Writing a Genetic Algorithm | 93 |
Applications of Genetic Algorithms | 113 |
2 | 123 |
3 | 131 |
4 | 139 |
6 | 157 |
Appendix | 187 |
| 205 | |
| 225 | |
Andere Ausgaben - Alle anzeigen
An Introduction To Genetic Algorithms For Scientists And Engineers David Alexander Coley Eingeschränkte Leseprobe - 1999 |
Häufige Begriffe und Wortgruppen
4th International Conference applied approach artificial neural networks Belew binary strings building Coley complex Conference on Genetic convergence crossover crossover and mutation DECLARE SUB DIM SHARED elite member encoding END SUB Figure END SUB SUB energy Eshelman estimate example files Fitness Fittest Individual fitness function Fitness Individual fitness landscape Foundations of Genetic Genetic Algorithms global optimum Gray coding Halhal image registration images Individual END SUB initial population Integers large number LGADOS LGADOS.ALL light levels linear fitness scaling liquid crystal Mate2 Matel maximisation MeanFitness method minimisation Morgan Kaufmann NewStrings NewIndividual NumberOfUnknowns OpenFiles operators optimal optimisation Pareto optimal pipe diameters population members PopulationSize possible PrintGeneration problem Proceedings R.K. and Booker random number range Replace representation ScalingConstant Schaffer schema schemata search space simple SMGA spin glass Strings Individual SUB SUB subroutine SumFitness technique temporary population TotalStringLength typically unknown parameters
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