An Improved Hybrid Encoding Cuckoo Search Algorithm for 0-1 Knapsack Problems
Joint Authors
He, Yichao
Feng, Yanhong
Jia, Ke
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Cuckoo search (CS) is a new robust swarm intelligence method that is based on the brood parasitism of some cuckoo species.
In this paper, an improved hybrid encoding cuckoo search algorithm (ICS) with greedy strategy is put forward for solving 0-1 knapsack problems.
First of all, for solving binary optimization problem with ICS, based on the idea of individual hybrid encoding, the cuckoo search over a continuous space is transformed into the synchronous evolution search over discrete space.
Subsequently, the concept of confidence interval (CI) is introduced; hence, the new position updating is designed and genetic mutation with a small probability is introduced.
The former enables the population to move towards the global best solution rapidly in every generation, and the latter can effectively prevent the ICS from trapping into the local optimum.
Furthermore, the greedy transform method is used to repair the infeasible solution and optimize the feasible solution.
Experiments with a large number of KP instances show the effectiveness of the proposed algorithm and its ability to achieve good quality solutions.
American Psychological Association (APA)
Feng, Yanhong& Jia, Ke& He, Yichao. 2014. An Improved Hybrid Encoding Cuckoo Search Algorithm for 0-1 Knapsack Problems. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-512347
Modern Language Association (MLA)
Feng, Yanhong…[et al.]. An Improved Hybrid Encoding Cuckoo Search Algorithm for 0-1 Knapsack Problems. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-512347
American Medical Association (AMA)
Feng, Yanhong& Jia, Ke& He, Yichao. An Improved Hybrid Encoding Cuckoo Search Algorithm for 0-1 Knapsack Problems. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-512347
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-512347