Classic intelligent algorithm has the ability of global search

but it is still easy to fall into local optimum when dealing with composition multi-modal problems

and hard to jump out of it. For this question

a hybrid DE chemical reaction optimization algorithm was proposed. In this approach

DE mutation was used to improve searching accuracy

and elitist reserve was utilized to retain the quality of the whole population. 8 benchmark functions are chosen from CEC 2005

and the accuracy of calculation and the performance of global search will be tested through solving these benchmarks. At last

simulations on these benchmarks are performed with HDECRO and compare the results with several modified intelligent algorithms to draw conclusion.