Improved differential evolution algorithm for mixed integer nonlinear programming problem
Hu Peng · Jisuanji yingyong yanjiu · 2012
This paper proposed an improved differential evolution algorithm for the mixed integer nonlinear programming problem.Used a homomorphous mapping in the algorithm to deal the integer decision variables,and used a self-adaptive alternating mutation operator to improve the search performance.In addition,it used a self-adaptively infeasible solution biased way to construct a new selection operator which could deal the constraints directly.The experiment results of six benchmarks show the new algorithm is efficient and practical for the mixed-integer nonlinear programming problem.