- Category:
- AI-NN-PR
- Tags:
-
- File Size:
- 4kb
- Update:
- 2018-04-13
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- Uploaded by:
- 绝情逆空
Description: The particle swarm optimization (PSO) algorithm, which is one of the evolutionary algorithms, is similar to the simulated annealing algorithm. It also starts from the random solution to find the optimal solution by iteration. It also evaluates the quality of the solution by the fitness, but it is more simple than the genetic algorithm rule, and it has no genetic algorithm "Crossover" and "variation". "(Mutation) operation, it seeks the global optimum by following the best value that is currently searched. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.
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| Filename | Size | Date |
|---|
| PSO\PSO.pyproj | 1951 | 2017-08-04
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| PSO\PSO.sln | 809 | 2017-08-10
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| PSO\app.py | 1120 | 2017-08-10
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| PSO\license.txt | 1350 | 2017-08-10
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| PSO\yarpiz | 0 | 2018-04-13
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| PSO\yarpiz\__init__.py | 885 | 2017-08-10
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| PSO\yarpiz\pso.py | 2768 | 2017-08-10
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| PSO | 0 | 2018-04-13 |
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