prolog_genetic_programming

所属分类:人工智能/神经网络/深度学习
开发工具:Prolog
文件大小:0KB
下载次数:0
上传日期:2023-06-26 11:39:45
上 传 者sh-1993
说明:  prolog中的遗传编程,
(genetic programming in prolog,)

文件列表:
LICENSE (35149, 2023-06-26)
example.pl (2526, 2023-06-26)
load.pl (131, 2023-06-26)
run.pl (302, 2023-06-26)
run.sh (114, 2023-06-26)
src/ (0, 2023-06-26)
src/core.pl (820, 2023-06-26)
src/genetic_programming.pl (4480, 2023-06-26)
src/genetic_programming.plt (1609, 2023-06-26)
src/optimizer.pl (4789, 2023-06-26)
src/optimizer.plt (1214, 2023-06-26)
src/tasks.pl (5718, 2023-06-26)
src/tasks.plt (2077, 2023-06-26)
test.sh (94, 2023-06-26)

# prolog_genetic_programming genetic programming in prolog we were inspired by the genetic programming example in python from [lowerkey/genetic_programming](https://github.com/lowerkey/genetic_programming) ## Builtin Task, Overfitting on a string #### running from cli for ease of use, you can use the shell script run.sh on linux or look into run.sh to see how to invoke swipl ``` ./run.sh ``` #### running manually run swi-prolog, load the algorithm, and run it. this runs the genetic programming to overfit on the string "Hello" and prints the genes for every iteration. ``` swipl ?- [load]. ?- genetic_programming:genetic_programming("Learn_String_with_levenshtein", "stringopt", EvolutionHistory), EvolutionHistory = [ LastEpoch | _ ], writeln(LastEpoch), !. ?- genetic_programming:genetic_programming("Learn_String_with_quadratic", "stringopt", EvolutionHistory), EvolutionHistory = [ LastEpoch | _ ], writeln(LastEpoch), !. ``` ## Adding your own task, example.pl You can add and redefine operations in your own external scripts through dynamic predicates. In example.pl we define a new task and change the required operations. you can run example.pl like follows: ``` ?- [example]. ```

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