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- matlab
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- File Size:
- 2kb
- Update:
- 2018-01-01
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- 何苗
Description: GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a potential set of solutions to a prob-lem, while a population consists of a finite number of indi-viduals (called phenotype) encoded by genes. Each individ-ual is actually an entity with a chromosome(called geno-type). Chromosome as a major carrier of genetic material, that is, a collection of multiple genes.
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| Filename | Size | Date |
|---|
| GA多目标约束问题\crossover.m | 345 | 2017-05-14
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| GA多目标约束问题\decode_x1.m | 197 | 2017-05-14
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| GA多目标约束问题\decode_x2.m | 196 | 2017-05-14
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| GA多目标约束问题\main.m | 1298 | 2017-05-14
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| GA多目标约束问题\mutation.m | 324 | 2017-05-14
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| GA多目标约束问题\seclection.m | 414 | 2017-05-14
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| GA多目标约束问题 | 0 | 2018-01-01 |
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