A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In order to well maintain the diversity of obtained solutions, a new multiobjective evolutionary algorithm based on decomposition of the objective space for multiobjective optimization problems (MOPs) is designed.
In order to achieve the goal, the objective space of a MOP is decomposed into a set of subobjective spaces by a set of direction vectors.
In the evolutionary process, each subobjective space has a solution, even if it is not a Pareto optimal solution.
In such a way, the diversity of obtained solutions can be maintained, which is critical for solving some MOPs.
In addition, if a solution is dominated by other solutions, the solution can generate more new solutions than those solutions, which makes the solution of each subobjective space converge to the optimal solutions as far as possible.
Experimental studies have been conducted to compare this proposed algorithm with classic MOEA/D and NSGAII.
Simulation results on six multiobjective benchmark functions show that the proposed algorithm is able to obtain better diversity and more evenly distributed Pareto front than the other two algorithms.
American Psychological Association (APA)
Dai, Cai& Wang, Yuping. 2014. A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-506983
Modern Language Association (MLA)
Dai, Cai& Wang, Yuping. A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-506983
American Medical Association (AMA)
Dai, Cai& Wang, Yuping. A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-506983
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506983