Uncertain bilevel knapsack problem based on an improved binary wolf pack algorithm

Hu-sheng WU , Jun-jie XUE , Ren-bin XIAO , Jin-qiang HU

Front. Inform. Technol. Electron. Eng ›› 2020, Vol. 21 ›› Issue (9) : 1356 -1368.

PDF (807KB)
Front. Inform. Technol. Electron. Eng ›› 2020, Vol. 21 ›› Issue (9) : 1356 -1368. DOI: 10.1631/FITEE.1900437
Orginal Article
Orginal Article

Uncertain bilevel knapsack problem based on an improved binary wolf pack algorithm

Author information +
History +
PDF (807KB)

Abstract

To address indeterminism in the bilevel knapsack problem, an uncertain bilevel knapsack problem (UBKP) model is proposed. Then, an uncertain solution for UBKP is proposed by defining the P E Nash equilibrium and P E Stackelberg–Nash equilibrium. To improve the computational efficiency of the uncertain solution, an evolutionary algorithm, the improved binary wolf pack algorithm, is constructed with one rule (wolf leader regulation), two operators (invert operator and move operator), and three intelligent behaviors (scouting behavior, intelligent hunting behavior, and upgrading). The UBKP model and the P E uncertain solution are applied to an armament transportation problem as a case study.

Keywords

Bilevel knapsack problem / Uncertainty / Improved binary wolf pack algorithm

Cite this article

Download citation ▾
Hu-sheng WU, Jun-jie XUE, Ren-bin XIAO, Jin-qiang HU. Uncertain bilevel knapsack problem based on an improved binary wolf pack algorithm. Front. Inform. Technol. Electron. Eng, 2020, 21(9): 1356-1368 DOI:10.1631/FITEE.1900437

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (807KB)

Supplementary files

FITEE-1356-19008-HSW_suppl_1

FITEE-1356-19008-HSW_suppl_2

996

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/