Research on Multi-Objective Optimization Design Method for Nuclear Power Systems

Zhu Li; Peng Shinian; Yang Yunjia; Li Feng; Xian Lin; Zhang Dan; Qiu Zhifang; Yuan Hongsheng

doi:10.13832/j.jnpe.2019.06.0198

Volume 40 Issue 6

Dec. 2019

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Article Navigation > Nuclear Power Engineering > 2019 > 40(6): 198-202

Zhu Li, Peng Shinian, Yang Yunjia, Li Feng, Xian Lin, Zhang Dan, Qiu Zhifang, Yuan Hongsheng. Research on Multi-Objective Optimization Design Method for Nuclear Power Systems[J]. Nuclear Power Engineering, 2019, 40(6): 198-202. doi: 10.13832/j.jnpe.2019.06.0198

Citation:

Zhu Li, Peng Shinian, Yang Yunjia, Li Feng, Xian Lin, Zhang Dan, Qiu Zhifang, Yuan Hongsheng. Research on Multi-Objective Optimization Design Method for Nuclear Power Systems[J]. Nuclear Power Engineering, 2019, 40(6): 198-202. doi: 10.13832/j.jnpe.2019.06.0198

Citation:

Zhu Li, Peng Shinian, Yang Yunjia, Li Feng, Xian Lin, Zhang Dan, Qiu Zhifang, Yuan Hongsheng. Research on Multi-Objective Optimization Design Method for Nuclear Power Systems[J]. Nuclear Power Engineering, 2019, 40(6): 198-202. doi: 10.13832/j.jnpe.2019.06.0198

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Research on Multi-Objective Optimization Design Method for Nuclear Power Systems

doi: 10.13832/j.jnpe.2019.06.0198

Publish Date: 2019-12-15

Abstract

Abstract

The modified multi-objective self-adaptive differential evolution algorithm is proposed to improve the precision of the multi-objective optimal design results. MMOSADE is confirmed by the ZDT test function set. A multi-objective optimization design method for nuclear power systems is developed. The method is applied to the PRHR-HX of AP1000. The optimal results indicated that this optimization design method is effective and feasible.
- Nuclear power system,
- Multi-objective optimization,
- Differential evolution algorithm