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genetic-bit-string-evolver
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Author SHA1 Message Date
mike 3d3d880133 Nonce to test hook migration 2020-01-02 09:59:23 -08:00
mike 024e0e2fce Nonce to test hook migration 2020-01-02 09:57:59 -08:00
mike fd20a4b1d5 Nonce to test hook migration 2020-01-02 09:57:33 -08:00
mike 9fddf80216 Nonce to test hook migration 2020-01-02 09:57:13 -08:00
mike 8a1f8204e1 Nonce to test hook migration 2020-01-02 09:55:57 -08:00
mike d9eabf917b Nonce to test hook migration 2020-01-02 09:55:53 -08:00
Mike da29760ddc Merge branch 'dev' 2019-08-04 03:35:40 -07:00
Mike 826470c98c Merge branch 'dev' 2018-05-02 03:13:14 -07:00
Mike 210fe1e785 Merge branch 'dev' 2018-05-01 15:16:44 -07:00
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@ -74,12 +74,6 @@ The following features have been implemented thus far:
* *Rate* : The number of *champions* is determined by taking a percentage of the total population. A rate of 2% with a population size of 200 would result in 4 *champions*
* *Absolute* : The number of *champions* can be set to any whole number manually
* **Multithreading Support**
To decrease processing time, the Population class can utilize multiple CPUs/Cores in the following scenarios:
* When evolving a new population
* When evaluating fitness, if you're able to calculate the fitness for a Chromosome using only one single function call, given to the Population class as a callback
## Special Thank You
I would like to thank my old professor, Christopher Ryu, Ph.D., for teaching a great Artificial Intelligence class and inspiring me to create this project while taking his class.