| authors |
Goldberg, D. |
| year |
1988 |
| title |
Genetic Algorithms in Search, Optimization and Machine Learning |
| source |
Addison-Wesley, Reading, Massachusetts |
| summary |
David Goldberg's Genetic Algorithms in Search, Optimization and Machine Learning is by far the bestselling introduction to genetic algorithms. Goldberg is one of the preeminent researchers in the field--he has published over 100 research articles on genetic algorithms and is a student of John Holland, the father of genetic algorithms--and his deep understanding of the material shines through. The book contains a complete listing of a simple genetic algorithm in Pascal, which C programmers can easily understand. The book covers all of the important topics in the field, including crossover, mutation, classifier systems, and fitness scaling, giving a novice with a computer science background enough information to implement a genetic algorithm and describe genetic algorithms to a friend. |
| series |
other |
| references |
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| last changed |
2003/04/23 15:14 |
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