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Title |
Genetic Algorithms and Evolutionary Computation |
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Author |
Nagori Meghna, KaleJyoti |
| Citation |
Vol. 10 No. 12 pp. 126-133 |
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Abstract |
Generally speaking, genetic algorithms are simulations of evolution, of what kind ever. In most cases, however, genetic algorithms are nothing else than probabilistic optimization methods which are based on the principles of evolution. Using simulation and Genetic Algorithms to improve cluster tool performance, Mooring Pattern Optimization using Genetic Algorithms. This paper is designed to cover a few important application aspects of genetic algorithm under a single umbrella. |
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Keywords |
Genetic Algorithm |
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URL |
