Quantum-Inspired Wolf Pack Algorithm to Solve the 0-1 Knapsack Problem
Joint Authors
Gao, Yangjun
Zhao, Yu
Li, Chao
Zhang, Feng-Ming
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Gao, Yangjun& Zhang, Feng-Ming& Zhao, Yu& Li, Chao. 2018. Quantum-Inspired Wolf Pack Algorithm to Solve the 0-1 Knapsack Problem. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207919
Modern Language Association (MLA)
Gao, Yangjun…[et al.]. Quantum-Inspired Wolf Pack Algorithm to Solve the 0-1 Knapsack Problem. Mathematical Problems in Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1207919
American Medical Association (AMA)
Gao, Yangjun& Zhang, Feng-Ming& Zhao, Yu& Li, Chao. Quantum-Inspired Wolf Pack Algorithm to Solve the 0-1 Knapsack Problem. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1207919
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1207919