Cooperative Model of Evolutionary Algorithms Applied to CEC 2019 Single Objective Numerical Optimization
Petr Bujok, Aleš Zamuda · 2019
A cooperative model of well-known evolutionary algorithms is proposed and tested on CEC 2019 benchmark suite. The four adaptive algorithms are chosen for this model, namely Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) and three variants of adaptive Differential Evolution. Although the three algorithms use constant population size, the proposed model employs an efficient linear population-size reduction mechanism. The provided results show that the Cooperative Model of Evolutionary Algorithms (CMEAL) is able to solve seven out of ten optimization problems.