An evolutionary algorithm with double strategy for global optimization problems
Jian‐Qin Liu, Ning Li, Yang Zhao · 2014
In this paper, we propose a novel evolutionary algorithm with double strategy (DSEA), and prove the asymptotic convergence of DSEA by using the Markov-chain theory. For five high dimension Benchmark functions, the simulation calculation shows that DSEA is superior to PSO and DE, and it is very suitable to solve the global optimization problems.