Quantum-Inspired Wolf Pack Algorithm to Solve the 0-1 Knapsack Problem. (20th June 2018)

• Record Type: Journal Article
• Authors: Gao, Yangjun; Zhang, Fengming; Zhao, Yu; Li, Chao
• Other Names: Insfran Pelozo Emilio Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2018(2018)
• Publication Date: 2018-06-20
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2018/5327056
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper proposes a Quantum-Inspired wolf pack algorithm (QWPA) based on quantum encoding to enhance the performance of the wolf pack algorithm (WPA) to solve the 0-1 knapsack problems. There are two important operations in QWPA: quantum rotation and quantum collapse. The first step enables the population to move to the global optima and the second step helps to avoid the trapping of individuals into local optima. Ten classical and four high-dimensional knapsack problems are employed to test the proposed algorithm, and the results are compared with other typical algorithms. The statistical results demonstrate the effectiveness and global search capability for knapsack problems, especially for high-level cases.