| 000 | 01532 a2200253 4500 | ||
|---|---|---|---|
| 005 | 20250526161932.0 | ||
| 008 | 250430041995xx 4 eng | ||
| 020 |
_a9780849325298 _qBB |
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| 037 |
_bTaylor & Francis _cGBP 160.00 _fBB |
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| 040 | _a01 | ||
| 041 | _aeng | ||
| 072 | 7 |
_aUY _2thema |
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| 072 | 7 |
_aUB _2thema |
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| 072 | 7 |
_aUY _2bic |
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| 072 | 7 |
_aUB _2bic |
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| 072 | 7 |
_aMAT000000 _2bisac |
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| 072 | 7 |
_aMAT021000 _2bisac |
|
| 100 | 1 |
_aLance D. Chambers _9904 |
|
| 245 | 1 | 0 |
_aPractical Handbook of Genetic Algorithms _bNew Frontiers, Volume II |
| 250 | _a1 | ||
| 260 |
_bCRC Press _c19950815 |
||
| 300 | _a448 p | ||
| 520 | _bThe mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them. | ||
| 999 |
_c10570 _d10570 |
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