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| All class groups | > | All authors | > | Packages of Afshin Safarpour (2) | > | Mission progress status | > | Reputation |
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| This class implements a binary genetic algorithm that uses 16 binary genes. It uses 16 binary genes to implement parabolic landscape using randomly bit-flip mutation, 1 point crossover and bound. The class can display the current generation results on the page or write to a file. |
| Ratings | Utility | Consistency | Documentation | Examples | Tests | Videos | Overall | Rank |
| All time: | 83% | 75% | - | 75% | - | - | 56% | 1785 |
| Month: | Not yet rated by the users | |||||||
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| This class implements an evolutionary programming algorithm to simulate the evolution of population generation after generation. It takes several parameters like an expression to evaluate the fitness of population, the number of generations, etc.. The class applies the genetic algorithm and outputs the results to the current page or to a given file. |
| Ratings | Utility | Consistency | Documentation | Examples | Tests | Videos | Overall | Rank |
| All time: | 79% | 75% | - | 75% | - | - | 54% | 2069 |
| Month: | Not yet rated by the users | |||||||
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