chavalitros/MH-P2
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
45 Commits 1 Branch 0 Tags
fb5e9dc703f2769dfbbf35e112a03ed68f5680fa
Commit Graph
45 Commits
This Branch
This Branch
All Branches
Author SHA1 Message Date
coolneng fb5e9dc703 Remove redundant code 2021-06-22 00:21:14 +02:00
coolneng 112f40d00f Replace the population after the local search 2021-06-21 21:41:00 +02:00
coolneng 32eac42e7b Take into account local search iterations 2021-06-21 19:51:42 +02:00
coolneng f61cb7002e Implement memetic algorithm 2021-06-21 18:22:38 +02:00
coolneng 9aeff47bb1 Fix parameters typos 2021-06-21 17:57:48 +02:00
coolneng 764d235b4d Rename populate dataframes to populate dataframe 2021-06-21 17:56:52 +02:00
coolneng 7cbb25c546 Add local search module 2021-06-21 17:54:37 +02:00
coolneng 20aa6b2d1e Refactor execution script 2021-06-21 17:54:26 +02:00
coolneng 4e640ffc2d Add memetic algorithm prototype 2021-06-21 07:39:51 +02:00
coolneng ab4748d28e Change fitness evaluation 2021-06-21 07:39:39 +02:00
coolneng c2cc3c716d Limit number of iterations to 100 2021-06-21 03:50:14 +02:00
coolneng e20e16d476 Clean up genetic algorithm 2021-06-21 03:48:50 +02:00
coolneng 924e4c9638 Change CLI using argparse 2021-06-21 03:46:35 +02:00
coolneng f4dd4700c7 Add crossover probability 2021-06-21 02:25:54 +02:00
coolneng 35ca73ba74 Refactor parent grouping making it more resilient 2021-06-21 02:08:27 +02:00
coolneng 48737fd6f0 Refactor best point selection 2021-06-21 00:47:48 +02:00
coolneng efd511e070 Fix populate offspring 2021-06-20 19:48:04 +02:00
coolneng 5f89731f77 Fix uniform crossover function 2021-06-20 18:04:23 +02:00
coolneng 046b1a043a Implement uniform generational genetic algorithm 2021-06-20 05:24:56 +02:00
coolneng b4a299cbf7 Fix parent selection 2021-06-20 04:54:58 +02:00
coolneng 150457cc8e Fix matching genes selection 2021-06-19 20:22:39 +02:00
coolneng f71aa2e1e2 Fix uniform crossover operator 2021-06-19 19:13:14 +02:00
coolneng 04fd66425e Fix max and min selection according to fitness 2021-06-18 20:06:59 +02:00
coolneng ccf3a18a59 Implement population selection 2021-06-18 19:33:26 +02:00
coolneng c450d65870 Add population evaluation with multiprocessing 2021-06-18 18:54:34 +02:00
coolneng 04719dd8bc Implement the stationary replacement operator 2021-06-17 23:03:03 +02:00
coolneng 7056534872 Implement the generational replacement operator 2021-06-17 22:45:59 +02:00
coolneng 135d1c48b8 Add fitness column to individual 2021-06-17 22:45:42 +02:00
coolneng 7c434fb9cd Return 2 offsprings in the position crossover 2021-06-17 22:45:14 +02:00
coolneng 49d8383133 Replace solution instances with individual 2021-06-17 22:44:39 +02:00
coolneng ac300129ce Remove deprecated code 2021-06-17 19:25:16 +02:00
coolneng ed41333e87 Implement mutation operator 2021-06-17 19:15:50 +02:00
coolneng 9cafdc0536 Implement binary tournament selection operator 2021-05-31 18:24:20 +02:00
coolneng 84a165ea6f Implement mutation operator 2021-05-31 18:12:23 +02:00
coolneng f2584f87cb Implement position crossover operator 2021-05-25 16:53:59 +02:00
coolneng a80b8842e3 Implement uniform crossover operator 2021-05-24 19:43:46 +02:00
coolneng d88603729a Add fitness calculation 2021-05-19 20:43:57 +02:00
coolneng 9aff3e3e06 Rename get_first_random_solution function 2021-05-17 21:49:20 +02:00
coolneng 2e12296f2c Refactor genotype obtention into a function 2021-05-17 20:50:26 +02:00
coolneng 921e094858 Implement element evaluation 2021-05-17 20:42:17 +02:00
coolneng 74528b8c39 Rename algorithms in main module 2021-05-10 19:25:06 +02:00
coolneng c5bccf2f29 Adapt preprocessing module to the new lab 2021-05-03 18:00:18 +02:00
coolneng 103a5bdfb0 Add files from previous lab 2021-05-03 17:38:33 +02:00
coolneng bca17330ae Add gitignore 2021-04-26 18:47:22 +02:00
coolneng a67c87d0c8 Initial commit 2021-04-26 17:49:50 +02:00