A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model

Ma，Lianbo1; Wang，Rui1; Chen，Shengminjie2; Cheng，Shi3; Wang，Xingwei1; Lin，Zhiwei4; Shi，Yuhui5; Huang，Min6

2020

10.1016/j.ins.2019.01.030

INFORMATION SCIENCES   影响因子和分区

0020-0255

1872-6291

Due to the curse of dimensionality caused by the increasing number of objectives, it is very challenging to tackle many-objective optimization problems (MaOPs). Aiming at this issue, this paper proposes a novel many-objective evolutionary algorithm, called Tk-MaOEA, based on transfer matrix assisted by Kriging model. In this approach, for the global space optimization, a transfer matrix is used as a map tool to reduce the number of objectives, which can simplify the optimization process. For the objective optimization, the Kriging model is incorporated to further reduce the computation cost. In addition, the fast non-dominated sorting and farthest-candidate selection (FCS) methods are used to guarantee the diversity of solutions. Comprehensive experiments on a set of benchmark functions have been conducted. Experimental results show that Tk-MaOEA is effective for solving complex MaOPs.

Evolutionary algorithm Kring model Many-objective optimization Transfer matrix

SCI ; EI

英语

其他

UK EPSRC[EP/P031668/1]

Computer Science

Computer Science, Information Systems

WOS:000494883700028

ELSEVIER SCIENCE INC

20190506434971

Interpolation ; Transfer matrix method

Mathematics:921 ; Numerical Methods:921.6

COMPUTER SCIENCE

2-s2.0-85060453650

Scopus

1.College of SoftwareNortheastern University,Shenyang,China
2.School of Mathematical SciencesUniversity of Chinese Academy of Sciences,Beijing,China
3.School of Computer ScienceShaanxi Normal University,Xi'an,China
4.School of Computing and MathematicsUlster University,Newtownabbey,BT370QB,United Kingdom
5.Department of Computer Science and EngineeringSouthern University of Science and Technology,Shenzhen,China
6.College of Information Science and EngineeringNortheastern University,Shenyang,China

Ma，Lianbo,Wang，Rui,Chen，Shengminjie,et al. A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model[J]. INFORMATION SCIENCES,2020,509:437-456.

Ma，Lianbo.,Wang，Rui.,Chen，Shengminjie.,Cheng，Shi.,Wang，Xingwei.,...&Huang，Min.(2020).A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model.INFORMATION SCIENCES,509,437-456.

Ma，Lianbo,et al."A novel many-objective evolutionary algorithm based on transfer matrix with Kriging model".INFORMATION SCIENCES 509(2020):437-456.