Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition
School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China
Institute of Data Science and Technology, Shandong Normal University, Jinan 250358, China
School of Mathematics and Statistics, Xi’an JiaoTong University, Xi’an 710049, China
Author to whom correspondence should be addressed.
Received: 17 August 2018 / Revised: 4 September 2018 / Accepted: 4 September 2018 / Published: 15 September 2018
Decomposition-based multi-objective evolutionary algorithms provide a good framework for static multi-objective optimization. Nevertheless, there are few studies on their use in dynamic optimization. To solve dynamic multi-objective optimization problems, this paper integrates the framework into dynamic multi-objective optimization and proposes a memory-enhanced dynamic multi-objective evolutionary algorithm based on
decomposition (denoted by dMOEA/D-
). Specifically, dMOEA/D-
decomposes a dynamic multi-objective optimization problem into a number of dynamic scalar optimization subproblems and coevolves them simultaneously, where the
decomposition method is adopted for decomposition. Meanwhile, a subproblem-based bunchy memory scheme that stores good solutions from old environments and reuses them as necessary is designed to respond to environmental change. Experimental results verify the effectiveness of the
decomposition method in dynamic multi-objective optimization. Moreover, the proposed dMOEA/D-
achieves better performance than other popular memory-enhanced dynamic multi-objective optimization algorithms.
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MDPI and ACS Style
Xu, X.; Tan, Y.; Zheng, W.; Li, S. Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition. Appl. Sci. 2018, 8, 1673.
Xu X, Tan Y, Zheng W, Li S. Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition. Applied Sciences. 2018; 8(9):1673.
Xu, Xinxin; Tan, Yanyan; Zheng, Wei; Li, Shengtao. 2018. "Memory-Enhanced Dynamic Multi-Objective Evolutionary Algorithm Based on Lp Decomposition." Appl. Sci. 8, no. 9: 1673.
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