When and How to Transfer Knowledge in Dynamic Multi-objective Optimization

Ruan, Gan1; Minku, Leandro L1; Menzel, Stefan2; Sendhoff, Bernhard2; Yao, Xin1,3

2019-12

2019 IEEE Symposium Series on Computational Intelligence (SSCI)

2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019)

2034-2041

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Transfer learning has been used for solving multiple optimization and dynamic multi-objective optimization problems, since transfer learning is able to transfer useful information from one problem to help solving another related problem. This paper aims to investigate when and how transfer learning works or fails in dynamic multi-objective optimization. Through computational analyses on a number of dynamic bi- and tri-objective benchmark problems, we show that transfer learning fails on problems with fixed Pareto optimal solution sets and under small environmental changes. We also show that the Gaussian kernel function used in the existing transfer learning-based method is not always adequate. Therefore, transfer learning should be avoided when dealing with problems for which transfer learning fails and other kernel functions should be used when the Gaussian kernel is inadequate. This paper proposes novel strategies and kernel functions that can be used in such cases. Experimental studies have demonstrated the superiority of our proposed techniques to state-of-the-art methods, on a number of dynamic bi- and tri-objective test problems.

evolutionary algorithms transfer learning dynamic multi-objective optimization prediction-based method

其他

英语

CPCI-S

European Union[766186] ; Program for Guangdong Introducing Innovative and Enterpreneurial Teams[2017ZT07X386] ; Shenzhen Peacock Plan[KQTD2016112514355531] ; Program for University Key Laboratory of Guangdong Province[2017KSYS008]

Computer Science

Computer Science, Artificial Intelligence

WOS:000555467202018

Web of Science

1.CERCIA, School of Computer Science, University of Birmingham, UK
2.Honda Research Institute Europe GmbH, Offenbach 63073, Germany
3.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,China

Ruan, Gan,Minku, Leandro L,Menzel, Stefan,et al. When and How to Transfer Knowledge in Dynamic Multi-objective Optimization[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2019:2034-2041.