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]