title: A novel multi-objective electromagnetism-like mechanism algorithm with applications in reservoir flood control operation.
abstract: Reservoir flood control operation (RFCO) is a complex problem that involves various constraints and purposes, which include the safety of the dam, watershed flood control and navigation. These objectives often conflict with each other. Thus, traditional methods have difficulty in solving the multi-objective problem efficiently. In this paper, a multi-objective self-adaptive electromagnetism-like mechanism (MOSEM) algorithm is introduced in the local searching operation of the proposed method. To enhance the optimization ability of EM, a self-adaptive parameter is applied in the local search operation of MOSEM for adjusting the values of parameters dynamically. Moreover, MOSEM is tested by several benchmark test problems and compared with some well-known multi-objective evolutionary algorithms. A case study is also used for solving RFCO problems of the Three Georges Reservoir by using the multi-objective cultured differential evolution (MOCDE), non-dominated sorting genetic algorithm-II (NSGA-II) and proposed MOSEM methods. The study results reveal that MOSEM can provide alternative Pareto-optimal solutions (POS) with better convergence properties and diversification.
authors.affiliation: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China E-mail: jz.zhou@hust.edu.cn.
authors.forename: Shuo
authors.initials: S
authors.lastname: Ouyang
authors.affiliation: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China E-mail: jz.zhou@hust.edu.cn.
authors.forename: Jianzhong
authors.initials: J
authors.lastname: Zhou
authors.affiliation: Changjiang River Scientific Research Institute, Wuhan, 430010, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Qin
authors.affiliation: School of Hydropower and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China E-mail: jz.zhou@hust.edu.cn.
authors.forename: Xiang
authors.initials: X
authors.lastname: Liao
authors.affiliation: China Institute of Water Resources & Hydropower Research, Beijing, 100044, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D002681:China; D055590:Electromagnetic Phenomena; D055868:Floods; D008962:Models, Theoretical; D014881:Water Supply