This code uses a Feedforward Neural Network for Time Series Prediction.
Please see https://github.com/rohitash-chandra/real-coded-genetic-alg for RCGA
3 Mutation Operators are used; Simple Binary Crossover Blended Crossover G3PCX
Please see https://github.com/rohitash-chandra/real-coded-genetic-alg
Results below are for 1 run using 1000 evolution cycles:
1. Cooperative Coevolution using Simple Binary Crossover for population updates
Sunspot Problem [0.03605392492892612 RMSE]# Cooperative Coevolution Python Implementation This code uses a Feedforward Neural Network for Time Series Prediction.
3 Mutation Operators are used; Simple Binary Crossover Blended Crossover G3PCX
Results below are for 1 run using 1000 evolution cycles:
1. Cooperative Coevolution using Simple Binary Crossover for population updates
Sunspot Problem [0.03605392492892612 RMSE]
Mackey Problem [0.02070942674435361 RMSE]
Laser Problem [0.03720464126658818 RMSE]
2. Cooperative Coevolution using Blended Crossover for population updates
Sunspot Problem [0.039743000120041734 RMSE]
Mackey Problem [0.015516441044421484 RMSE]
Laser Problem [ RMSE]
Mackey Problem [0.02070942674435361 RMSE]
Laser Problem [0.03720464126658818 RMSE]
2. Cooperative Coevolution using Blended Crossover for population updates
Sunspot Problem [0.03605392492892612 RMSE]
Mackey Problem [0.02070942674435361 RMSE]
Laser Problem [0.03720464126658818 RMSE]