Evolutionary algorithm,CoBiDE,jSO,IDEbd,CMA-ES,cooperation,real-world problems

A cooperative model of efficient evolutionary algorithms is proposed and studied when solving 22 real-world problems of a CEC 2011 benchmark suite. The four adaptive algorithms are chosen for this model, namely the Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) and three variants of adaptive Differential Evolution (CoBiDE, jSO, and IDEbd). Five different combinations of cooperating algorithms are tested to obtain the best results. Although the two algorithms use constant population size, the proposed model employs an efficient linear population-size reduction mechanism. The best performing Cooperative Model of Evolutionary Algorithms (CMEAL) employs two EAs, and it outperforms the original algorithms in 10 out of 22 real-world problems.