Disruption-Based Multiobjective Equilibrium Optimization Algorithm
Joint Authors
Chen, Hao
Li, Weikun
Cui, Weicheng
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-01
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
Nature-inspired computing has attracted huge attention since its origin, especially in the field of multiobjective optimization.
This paper proposes a disruption-based multiobjective equilibrium optimization algorithm (DMOEOA).
A novel mutation operator named layered disruption method is integrated into the proposed algorithm with the aim of enhancing the exploration and exploitation abilities of DMOEOA.
To demonstrate the advantages of the proposed algorithm, various benchmarks have been selected with five different multiobjective optimization algorithms.
The test results indicate that DMOEOA does exhibit better performances in these problems with a better balance between convergence and distribution.
In addition, the new proposed algorithm is applied to the structural optimization of an elastic truss with the other five existing multiobjective optimization algorithms.
The obtained results demonstrate that DMOEOA is not only an algorithm with good performance for benchmark problems but is also expected to have a wide application in real-world engineering optimization problems.
American Psychological Association (APA)
Chen, Hao& Li, Weikun& Cui, Weicheng. 2020. Disruption-Based Multiobjective Equilibrium Optimization Algorithm. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1138892
Modern Language Association (MLA)
Chen, Hao…[et al.]. Disruption-Based Multiobjective Equilibrium Optimization Algorithm. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-21.
https://search.emarefa.net/detail/BIM-1138892
American Medical Association (AMA)
Chen, Hao& Li, Weikun& Cui, Weicheng. Disruption-Based Multiobjective Equilibrium Optimization Algorithm. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-21.
https://search.emarefa.net/detail/BIM-1138892
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138892