Hybrid of "Intersection" Algorithm for Multi-Objective Optimization with Response Surface Methodology and its Application br

被引:1
作者
Zheng, Maosheng [1 ]
Wang, Yi [1 ]
Teng, Haipeng [1 ]
机构
[1] Northwest Univ, Sch Chem Engn, 229 Taibai North Rd, Xian 710069, Shaanxi, Peoples R China
来源
TEHNICKI GLASNIK-TECHNICAL JOURNAL | 2022年 / 16卷 / 04期
关键词
favorable probability; intersection" method; hybrid; multi-object optimization; response surface methodology;
D O I
10.31803/tg-20210930051227
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Recently, a new "intersection" method for multi-objective optimization was developed in the points of view set theory and probability theory, which introduces a new idea of favorable probability to reflect the favorable degree of the utility of performance indicator in multi-objective optimization, and the product of all partial favorable probabilities of entire utilities of performance indicators makes the overall / total favorable probability of the candidate. Here, in this paper, the new "intersection" algorithm for multi-objective optimization is combined effectively with response surface methodology (RSM) by taking each response as one objective, which transfers the multi-response optimization problem into a single response one with the help of the overall / total favorable probability of each scheme. The overall / total favorable probability is the uniquely decisive index of the scheme in the optimization. Applications of the hybrid approach with two examples in material technology are given, proper predictions are obtained
引用
收藏
页码:454 / 457
页数:4
相关论文
共 50 条
[41]   Multi-objective optimization of a Stairmand cyclone separator using response surface methodology and computational fluid dynamics [J].
Sun, Xun ;
Kim, Sung ;
Yang, Seung Deok ;
Kim, Hyun Soo ;
Yoon, Joon Yong .
POWDER TECHNOLOGY, 2017, 320 :51-65
[42]   Multi-Objective Optimization of TMD for Frame Structure Based on Response Surface Methodology and Weighted Desirability Function [J].
Islam, Mohammad Saiful ;
Do, Jeongyun ;
Kim, Dookie .
KSCE JOURNAL OF CIVIL ENGINEERING, 2018, 22 (08) :3015-3027
[43]   Multi-objective collaborative optimization of metallurgical properties of iron carbon agglomerates using response surface methodology [J].
Bao, Ji-wei ;
Liu, Zheng-gen ;
Chu, Man-sheng ;
Han, Dong ;
Cao, Lai-geng ;
Guo, Jun ;
Zhao, Zi-chuan .
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS, 2021, 28 (12) :1917-1928
[44]   Multi-objective collaborative optimization of metallurgical properties of iron carbon agglomerates using response surface methodology [J].
Ji-wei Bao ;
Zheng-gen Liu ;
Man-sheng Chu ;
Dong Han ;
Lai-geng Cao ;
Jun Guo ;
Zi-chuan Zhao .
International Journal of Minerals, Metallurgy and Materials, 2021, 28 :1917-1928
[45]   Multi-objective optimization of pressure oxidative selective leaching of copper smelting slag by response surface methodology [J].
Shi G. ;
Liao Y. ;
Su B. ;
Zhang Y. ;
Xi J. .
Huagong Jinzhan/Chemical Industry and Engineering Progress, 2020, 39 (S1) :270-280
[46]   Multi-objective Optimization of CNC Milling Parameters of 7075 Aluminium Alloy Using Response Surface Methodology [J].
Cong Chi Tran ;
Van Tuan Luu ;
Van Tuu Nguyen ;
Van Tung Tran ;
Van Tuong Tran ;
Huy Dai Vu .
JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2023, 17 (03) :393-402
[47]   Multi-objective optimization of automotive power battery cooling plate structure using response surface methodology [J].
Liu, Qingtong ;
Sun, Qun ;
Wang, Hao ;
Cheng, Baixin .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2024, 38 (11) :6365-6374
[48]   Multi-Objective Optimization of TMD for Frame Structure Based on Response Surface Methodology and Weighted Desirability Function [J].
Mohammad Saiful Islam ;
Jeongyun Do ;
Dookie Kim .
KSCE Journal of Civil Engineering, 2018, 22 :3015-3027
[49]   A New "Intersection" Method for Multi-Objective Optimization in Material Selection [J].
Zheng, Maosheng ;
Wang, Yi ;
Teng, Haipeng .
TEHNICKI GLASNIK-TECHNICAL JOURNAL, 2021, 15 (04) :562-568
[50]   Multi-objective optimisation of the engine connecting rod based on the response surface methodology [J].
Zheng B. ;
Zhou L.F. .
International Journal of Computational Materials Science and Surface Engineering, 2024, 12 (01) :14-35