AMOBH: Adaptive Multiobjective Black Hole Algorithm
Joint Authors
Wu, Chong
Wu, Tao
Fu, Kaiyuan
Zhu, Yuan
Li, Yongbo
He, Wangyong
Tang, Shengwen
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-23
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
This paper proposes a new multiobjective evolutionary algorithm based on the black hole algorithm with a new individual density assessment (cell density), called “adaptive multiobjective black hole algorithm” (AMOBH).
Cell density has the characteristics of low computational complexity and maintains a good balance of convergence and diversity of the Pareto front.
The framework of AMOBH can be divided into three steps.
Firstly, the Pareto front is mapped to a new objective space called parallel cell coordinate system.
Then, to adjust the evolutionary strategies adaptively, Shannon entropy is employed to estimate the evolution status.
At last, the cell density is combined with a dominance strength assessment called cell dominance to evaluate the fitness of solutions.
Compared with the state-of-the-art methods SPEA-II, PESA-II, NSGA-II, and MOEA/D, experimental results show that AMOBH has a good performance in terms of convergence rate, population diversity, population convergence, subpopulation obtention of different Pareto regions, and time complexity to the latter in most cases.
American Psychological Association (APA)
Wu, Chong& Wu, Tao& Fu, Kaiyuan& Zhu, Yuan& Li, Yongbo& He, Wangyong…[et al.]. 2017. AMOBH: Adaptive Multiobjective Black Hole Algorithm. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1141039
Modern Language Association (MLA)
Wu, Chong…[et al.]. AMOBH: Adaptive Multiobjective Black Hole Algorithm. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1141039
American Medical Association (AMA)
Wu, Chong& Wu, Tao& Fu, Kaiyuan& Zhu, Yuan& Li, Yongbo& He, Wangyong…[et al.]. AMOBH: Adaptive Multiobjective Black Hole Algorithm. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1141039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141039