Dynamic Multi-objective Optimization Algorithm based on Transfer Learning for Environmental Protection | |
Li, Erchao; Ma, Xiangqi | |
刊名 | EKOLOJI |
2019 | |
卷号 | 28期号:107页码:2509-2519 |
关键词 | dynamic multi-objective optimization variable range transfer learning optimization algorithm environmental protection |
ISSN号 | 1300-1361 |
英文摘要 | In the life, there are many dynamic multi-objective optimization problems related to the optimization objectives and dynamic change factors. The solution of this problem requires that the algorithm used can quickly find the optimal solution in the new environment. Most methods ignored the independence and distribution of individual data, especially for dynamic optimization problems with variable amplitudes, which lack rationality. Based on the classical algorithm NSGA-II, this paper proposes a dynamic multi-objective optimization algorithm based on transfer learning called TR-FC-NSGA-II. Especially, for the dynamic multi-objective optimization problem with changeable amplitude, paper first proposes kind of angle change, which embodies the change range concretely. And then we carry out different strategies for different individuals affected by the change amplitude. The transfer learning algorithm is introduced to screen the optimized population twice, and more reasonable individuals are selected to solve the problem. Typical test function problems are used to test the algorithm, and the algorithm is compared with DNSGA-II and TRNSGA- II. The experimental results show that the improved algorithm can quickly find the optimal solution suitable for the current environment in dynamic environment. Compared with the traditional algorithm, the efficiency of the solution is greatly improved. The improved algorithm can not only be applied to optimize the use of raw materials in production, reduce resource waste and pollution, but also optimize the traffic routes, reduce congestion accidents and protect the social environment. |
资助项目 | National Natural Science Fund[61763026] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | FOUNDATION ENVIRONMENTAL PROTECTION & RESEARCH-FEPR |
WOS记录号 | WOS:000461678300280 |
状态 | 已发表 |
内容类型 | 期刊论文 |
源URL | [http://119.78.100.223/handle/2XXMBERH/32187] |
专题 | 电气工程与信息工程学院 |
通讯作者 | Li, Erchao |
作者单位 | Lanzhou Univ Technol, Coll Elect Engn & Informat Engn, Lanzhou 730050, Gansu, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Erchao,Ma, Xiangqi. Dynamic Multi-objective Optimization Algorithm based on Transfer Learning for Environmental Protection[J]. EKOLOJI,2019,28(107):2509-2519. |
APA | Li, Erchao,&Ma, Xiangqi.(2019).Dynamic Multi-objective Optimization Algorithm based on Transfer Learning for Environmental Protection.EKOLOJI,28(107),2509-2519. |
MLA | Li, Erchao,et al."Dynamic Multi-objective Optimization Algorithm based on Transfer Learning for Environmental Protection".EKOLOJI 28.107(2019):2509-2519. |
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