Differential evolution based on dissipative structure theory
Xin Wei · Jisuanji yingyong yanjiu · 2010
Differential evolution algorithm is a new evolutionary computation technology.In order to avoid the premature convergence problem,this paper proposed a modified differential evolution algorithm with the dissipative structure theory.Established the relationship between the number of the successfully mutated individuals and the cross operator.So the number of the successfully mutated individuals could affect the cross operator,improved the global search.In test,used three benchmark functions,and compared the performance of the proposed modified differential evolution algorithm with GA and DE.The result demonstrates that it's a powerful global optimization algorithm with rapid convergence rate,high solution quality and robustness.