A novel pareto archive evolution algorithm with adaptive grid strategy for multi-objective optimization problem

doi:10.1109/CSCWD.2019.8791858

CORC > 兰州理工大学 > 兰州理工大学 > 经济管理学院

	A novel pareto archive evolution algorithm with adaptive grid strategy for multi-objective optimization problem
	Zhao, Fuqing 4; He, Xuan 4; Zhang, Yi 3; Ma, Weimin 1; Zhang, Chuck 2
	2019-05-01
会议日期	May 6, 2019 - May 8, 2019
会议地点	Porto, Portugal
关键词	Genetic algorithms Interactive computer systems Adaptive grids Multi-objective problem Non-Dominated Archive Pareto archived evolution strategies Pareto front
DOI	10.1109/CSCWD.2019.8791858
页码	301-306
英文摘要	Multi-objective evolutionary algorithms usually utilize fixed evolutionary mechanism and the evolutionary operators are static during the process of algorithm evolution. It is easy to cause a simple population structure, unable to exploit the search space fully and trapped in local optimal solution. In this paper, a novel method named Pareto Archive Evolution Strategy (PAES) with adaptive grid strategy (AGS_PAES) which only makes one mutation to create one new solution and use an 'archive' which are called Non-Dominated Archive to store the best solution, is introduced. This procedure is completed by a special approach - adaptive grid method, which decides the criterion of the solution to be archived and the place of the grid location the solution would be stored. The Pareto front obtained by the procedure outperforms the classical Multi-objective Genetic Algorithm (Moga). Simulation results on the standard benchmark problems show that the proposed adaptive scheme has a better convergence and diversity compared with the second generation classical multi-objective evolutionary algorithms. © 2019 IEEE.
会议录	Proceedings of the 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design, CSCWD 2019
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/118141]
专题	经济管理学院国际合作处（港澳台办）
作者单位	1.School of Economics and Management, Tongji University, Shanghai; 200092, China; 2.H. Milton Stewart School of Industrial Systems Engineering, Georgia Institute of Technology, Atlanta; GA; 30332, United States 3.School of Mechnical Engineering, Xijin University, Xi'an; 710123, China; 4.School of Computer and Communication Technology, Lanzhou University of Technology, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Zhao, Fuqing,He, Xuan,Zhang, Yi,et al. A novel pareto archive evolution algorithm with adaptive grid strategy for multi-objective optimization problem[C]. 见:. Porto, Portugal. May 6, 2019 - May 8, 2019.