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Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies
Joint Authors
Liu, Yan
Zhang, Huaxiang
Tan, Yanyan
Lu, Xue
Wang, Qiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-06
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In order to solve the multiobjective optimization problems efficiently, this paper presents a hybrid multiobjective optimization algorithm which originates from invasive weed optimization (IWO) and multiobjective evolutionary algorithm based on decomposition (MOEA/D), a popular framework for multiobjective optimization.
IWO is a simple but powerful numerical stochastic optimization method inspired from colonizing weeds; it is very robust and well adapted to changes in the environment.
Based on the smart and distinct features of IWO and MOEA/D, we introduce multiobjective invasive weed optimization algorithm based on decomposition, abbreviated as MOEA/D-IWO, and try to combine their excellent features in this hybrid algorithm.
The efficiency of the algorithm both in convergence speed and optimality of results are compared with MOEA/D and some other popular multiobjective optimization algorithms through a big set of experiments on benchmark functions.
Experimental results show the competitive performance of MOEA/D-IWO in solving these complicated multiobjective optimization problems.
American Psychological Association (APA)
Tan, Yanyan& Lu, Xue& Liu, Yan& Wang, Qiang& Zhang, Huaxiang. 2019. Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1196753
Modern Language Association (MLA)
Tan, Yanyan…[et al.]. Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies. Mathematical Problems in Engineering No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1196753
American Medical Association (AMA)
Tan, Yanyan& Lu, Xue& Liu, Yan& Wang, Qiang& Zhang, Huaxiang. Decomposition-Based Multiobjective Optimization with Invasive Weed Colonies. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1196753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196753