- Category:
- matlab
- Tags:
-
- File Size:
- 3kb
- Update:
- 2018-01-03
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- Uploaded by:
- 王静
Description: Using the genetic algorithm to calculate the extremum of a objective function. Compared with the traditional optimization methods (enumeration, heuristics, etc.), genetic algorithms take the biological evolution as the prototype, which has good convergence. It has the advantages of less computational time and high robustness when calculating the precision requirements .
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 遗传算法\best.m | 565 | 2017-12-13
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| 遗传算法\binary2decimal.m | 401 | 2017-12-13
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| 遗传算法\cal_objvalue.m | 432 | 2017-12-13
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| 遗传算法\crossover.m | 607 | 2017-12-13
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| 遗传算法\initpop.m | 349 | 2017-12-13
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| 遗传算法\main.asv | 1028 | 2018-01-03
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| 遗传算法\main.m | 1024 | 2018-01-02
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| 遗传算法\mutation.m | 657 | 2017-12-13
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| 遗传算法\selection.m | 673 | 2017-12-13
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| 遗传算法 | 0 | 2018-01-03 |
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