Evolutionary computation in stochastic environments
This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best proced...
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| Year of Publication: | 2007 |
| Language: | English |
| Physical Description: | 1 electronic resource (VII, 128 p. p.) |
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| 100 | 1 | |a Schmidt, Christian |4 auth | |
| 245 | 1 | 0 | |a Evolutionary computation in stochastic environments |
| 260 | |b KIT Scientific Publishing |c 2007 | ||
| 300 | |a 1 electronic resource (VII, 128 p. p.) | ||
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| 520 | |a This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified. | ||
| 546 | |a English | ||
| 653 | |a Evolutionary Algorithm | ||
| 653 | |a Uncertainty | ||
| 653 | |a Simulation based optimization | ||
| 653 | |a Bayes | ||
| 653 | |a Ranking & Selection | ||
| 653 | |a Genetic Algorithms | ||
| 776 | |z 3-86644-128-2 | ||
| 906 | |a BOOK | ||
| ADM | |b 2023-12-15 05:42:57 Europe/Vienna |f system |c marc21 |a 2019-11-10 04:18:40 Europe/Vienna |g false | ||
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