PyDE

A python implementation of the differential evolution metaheuristic search algorithm introduced by R. Storn and K. Price to solve constrained optimization problems with continuous design variables.

https://doi.org/10.1023/A:1008202821328

Prerequisites

• Python 2.7
• Numpy >= 1.9.2

Usage

python pyde.py

Comments

1. Only DE/rand/1/bin scheme is implemented. User can efficiently add more de schemes in the mutation method of DifferentialEvolution class.
2. The problems are taken from: J.J. Liang, T.P. Runarsson, E. Mezura-Montes, M. Clerc, P.N. Suganthan, C.A. Coello Coello, K. Deb. Problem Definitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization, Technical Report, 2006. http://www.ntu.edu.sg/home/EPNSugan

Author

Manolis Georgioudakis (geoem@mail.ntua.gr)

Copyright: 2017