Brain storm optimization algorithm for solving knowledge spillover problems

Cheng, Shi1; Zhang, Mingming1; Ma, Lianbo2; Lu, Hui3; Wang, Rui4; Shi, Yuhui5

2021

10.1007/s00521-020-05674-0

NEURAL COMPUTING & APPLICATIONS   影响因子和分区

0941-0643

1433-3058

The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves. Compared to strategies between two agents, such as cooperation or noncooperation, strategies on multiple agents are rather challenging and difficult to be simulated via traditional methods. Particularly, in a knowledge spillover problem (KSP), cooperation strategies among more than hundreds of individuals need to be simulated. At the same time, the brain storm optimization (BSO) algorithm, which is a data-driven and model-driven hybrid paradigm, has the potential to simulate the complex behaviors in a group of simple individuals. In this paper, a modified BSO algorithm has been used to solve KSP from the perspective of evolutionary game theory. Knowledge spillover (KS) is the sharing or exchanging of knowledge resources among individuals. Firstly, the KS and evolutionary game theory were introduced. Then, the KS model and KS optimization problems were built from the evolutionary game perspective. Lastly, the modified BSO algorithms were utilized to solve KS optimization problems. Based on the applications of BSO algorithms for KSP, the properties of different swarm optimization algorithms can be understood better. More efficient algorithms could be designed to solve different real-world evolutionary game problems.

Brain storm optimization Evolutionary game theory Knowledge spillover model Swarm optimization algorithm

SCI ; EI

英语

其他

National Natural Science Foundation of China[61806119,61672334,61761136008,61703256,61773103] ; Natural Science Basic Research Plan In Shaanxi Province of China[2019JM-320] ; Fundamental Research Funds for the Central Universities["GK202003078","GK201803020"] ; Graduate innovation team project of Shaanxi Normal University[TD2020014Z]

Computer Science

Computer Science, Artificial Intelligence

WOS:000607329000002

SPRINGER LONDON LTD

20210309792226

Decision theory ; Game theory ; Knowledge management ; Multi agent systems ; Optimization ; Storms

Precipitation:443.3 ; Computer Applications:723.5 ; Optimization Techniques:921.5 ; Probability Theory:922.1 ; Systems Science:961

ENGINEERING

Web of Science

1.Shaanxi Normal Univ, Sch Comp Sci, Xian 710119, Peoples R China
2.Northeastern Univ, Coll Software, Shenyang 110819, Peoples R China
3.Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
4.Natl Univ Def Technol, Coll Syst Engn, Changsha 410073, Peoples R China
5.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

Cheng, Shi,Zhang, Mingming,Ma, Lianbo,et al. Brain storm optimization algorithm for solving knowledge spillover problems[J]. NEURAL COMPUTING & APPLICATIONS,2021,35:12247-12260.

Cheng, Shi,Zhang, Mingming,Ma, Lianbo,Lu, Hui,Wang, Rui,&Shi, Yuhui.(2021).Brain storm optimization algorithm for solving knowledge spillover problems.NEURAL COMPUTING & APPLICATIONS,35,12247-12260.

Cheng, Shi,et al."Brain storm optimization algorithm for solving knowledge spillover problems".NEURAL COMPUTING & APPLICATIONS 35(2021):12247-12260.