title: Dynamic multiobjective optimization algorithm based on average distance linear prediction model.
abstract: Many real-world optimization problems involve objectives, constraints, and parameters which constantly change with time. Optimization in a changing environment is a challenging task, especially when multiple objectives are required to be optimized simultaneously. Nowadays the common way to solve dynamic multiobjective optimization problems (DMOPs) is to utilize history information to guide future search, but there is no common successful method to solve different DMOPs. In this paper, we define a kind of dynamic multiobjectives problem with translational Paretooptimal set (DMOP-TPS) and propose a new prediction model named ADLM for solving DMOP-TPS. We have tested and compared the proposed prediction model (ADLM) with three traditional prediction models on several classic DMOP-TPS test problems. The simulation results show that our proposed prediction model outperforms other prediction models for DMOP-TPS.
authors.affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.
authors.forename: Zhiyong
authors.identifier: 0000-0001-9720-5915
authors.initials: Z
authors.lastname: Li
authors.affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.
authors.forename: Hengyong
authors.identifier: 0000-0002-9472-1268
authors.initials: H
authors.lastname: Chen
authors.affiliation: College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China.
authors.forename: Zhaoxin
authors.initials: Z
authors.lastname: Xie
authors.affiliation: College of Information Science and Engineering, Hunan University, Changsha 410082, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Chen
authors.affiliation: Faculty of Computers and Informatics, Suez Canal University, Ismailia 41522, Egypt.
authors.forename: Ahmed
authors.initials: A
authors.lastname: Sallam
mesh_terms: D000465:Algorithms; D008962:Models, Theoretical