Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems
Joint Authors
He, Maowei
Chen, Hanning
Liang, Xiaodan
Sun, Liling
Wu, Yuhan
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-12-25
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
Over the last few decades, evolutionary algorithms (EAs) have been widely adopted to solve complex optimization problems.
However, EAs are powerless to challenge the constrained optimization problems (COPs) because they do not directly act to reduce constraint violations of constrained problems.
In this paper, the robustly global optimization advantage of artificial bee colony (ABC) algorithm and the stably minor calculation characteristic of constraint consensus (CC) strategy for COPs are integrated into a novel hybrid heuristic algorithm, named ABCCC.
CC strategy is fairly effective to rapidly reduce the constraint violations during the evolutionary search process.
The performance of the proposed ABCCC is verified by a set of constrained benchmark problems comparing with two state-of-the-art CC-based EAs, including particle swarm optimization based on CC (PSOCC) and differential evolution based on CC (DECC).
Experimental results demonstrate the promising performance of the proposed algorithm, in terms of both optimization quality and convergence speed.
American Psychological Association (APA)
Sun, Liling& Wu, Yuhan& Liang, Xiaodan& He, Maowei& Chen, Hanning. 2019. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society،Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
Modern Language Association (MLA)
Sun, Liling…[et al.]. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society No. 2019 (2019), pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
American Medical Association (AMA)
Sun, Liling& Wu, Yuhan& Liang, Xiaodan& He, Maowei& Chen, Hanning. Constraint Consensus Based Artificial Bee Colony Algorithm for Constrained Optimization Problems. Discrete Dynamics in Nature and Society. 2019. Vol. 2019, no. 2019, pp.1-24.
https://search.emarefa.net/detail/BIM-1146469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1146469