GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization

作者：

Highlights：

• A hybridization of a Genetic Algorithm and the Cross-Entropy is implemented.

• A total of 24 optimization functions used in an international workshop are employed.

• A study between different algorithm parameter values and literature methods is done.

摘要

•A hybridization of a Genetic Algorithm and the Cross-Entropy is implemented.•A total of 24 optimization functions used in an international workshop are employed.•A study between different algorithm parameter values and literature methods is done.

论文关键词：Genetic Algorithm,Cross Entropy,Hybrid algorithm,Continuous optimization,Optimization functions

论文评审过程：Received 20 July 2015, Revised 22 January 2016, Accepted 16 February 2016, Available online 27 February 2016, Version of Record 15 March 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.02.034