Research on Multi-objective Optimization Method Based on Model

Authors

Jianjun Liu, 1.National Defence University,Beijing 100091,China; ;2.XinJiangYiLi Military Subarea,Yining 835000,China;
Guangya Si, 1.National Defence University,Beijing 100091,China; ;
Yanzheng Wang, 1.National Defence University,Beijing 100091,China; ;
Dachuan He, 1.National Defence University,Beijing 100091,China; ;

Abstract

Abstract: There is a model-based algorithm for the optimization of multiple objective functions by means of black-box evaluation is proposed. The algorithm iteratively generates candidate solutions from a mixture distribution over the solution space and updates the mixture distribution based on the sampled solutions’ domination count, such that the future search is biased towards the set of Pareto optimal solutions. The proposed algorithm seeks to find a mixture distribution on the solution space so that each component of the mixture distribution is a degenerate distribution centered at a Pareto optimal solution and each estimated Pareto optimal solution is uniformly spread across the Pareto optimal set by a threshold distance. The performance of the proposed algorithm is verified by several benchmark problems.

Recommended Citation

Liu, Jianjun; Si, Guangya; Wang, Yanzheng; and He, Dachuan (2020) "Research on Multi-objective Optimization Method Based on Model," Journal of System Simulation: Vol. 32: Iss. 11, Article 9.
DOI: 10.16182/j.issn1004731x.joss.19-FZ0418
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss11/9

First Page

2138

Revised Date

2019-08-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.19-FZ0418

Last Page

2145

CLC

TP391.9

Recommended Citation

Liu Jianjun, Si Guangya, Wang Yanzheng, He Dachuan. Research on Multi-objective Optimization Method Based on Model[J]. Journal of System Simulation, 2020, 32(11): 2138-2145.

DOI

10.16182/j.issn1004731x.joss.19-FZ0418