Journal of Dalian Maritime University >
2018 , Vol. 44 >Issue 2: 33 - 38
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2018.02.006
Shipboard power grid reconstruction based on environment Pareto dominated selection differential evolution algorithm
Received date: 2017-12-28
Revised date: 2018-01-22
Online published: 2018-01-22
In order to improve the accuracy of the optimal solution and avoid local optimization in shipboard power grid reconstruction, an improved differential evolution algorithm was proposed by using the environment Pareto dominated selection strategy, the feasible solution and the excellent infeasible solution after mutation were selected, and then the excellent infeasible solution was utilized based on improved selection strategy. Aiming at the discrete multiobjective optimization problem of shipboard power grid reconstruction, the discrete operation was conducted by using the 0, 1, 2 discrete codes and nonparametric mutation operator, and the chaotic initialization was adopted to improve the population diversity. Results show that compared with other algorithms, the improved differential evolution algorithm has better failure recovery scheme, convergence and stability and effectively, as well as avoiding local optimization.
MA Li-sheng , ZHANG Jun-dong , REN Guang . Shipboard power grid reconstruction based on environment Pareto dominated selection differential evolution algorithm[J]. Journal of Dalian Maritime University, 2018 , 44(2) : 33 -38 . DOI: 10.16411/j.cnki.issn1006-7736.2018.02.006
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