Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search
Joint Authors
Huang, Xingwang
Zeng, Xuewen
Han, Rui
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-28
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Binary bat algorithm (BBA) is a binary version of the bat algorithm (BA).
It has been proven that BBA is competitive compared to other binary heuristic algorithms.
Since the update processes of velocity in the algorithm are consistent with BA, in some cases, this algorithm also faces the premature convergence problem.
This paper proposes an improved binary bat algorithm (IBBA) to solve this problem.
To evaluate the performance of IBBA, standard benchmark functions and zero-one knapsack problems have been employed.
The numeric results obtained by benchmark functions experiment prove that the proposed approach greatly outperforms the original BBA and binary particle swarm optimization (BPSO).
Compared with several other heuristic algorithms on zero-one knapsack problems, it also verifies that the proposed algorithm is more able to avoid local minima.
American Psychological Association (APA)
Huang, Xingwang& Zeng, Xuewen& Han, Rui. 2017. Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1140885
Modern Language Association (MLA)
Huang, Xingwang…[et al.]. Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1140885
American Medical Association (AMA)
Huang, Xingwang& Zeng, Xuewen& Han, Rui. Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1140885
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140885