Interval Multiobjective Optimization With Memetic Algorithms

One of the most important and widely faced optimization problems in real applications is the interval multiobjective optimization problems (IMOPs). The state-of-the-art evolutionary algorithms (EAs) for IMOPs (IMOEAs) need a great deal of objective function evaluations to find a final Pareto front w...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 50; no. 8; pp. 3444 - 3457
Main Authors:	Sun, Jing, Miao, Zhuang, Gong, Dunwei, Zeng, Xiao-Jun, Li, Junqing, Wang, Gaige
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.08.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Desalination Evolutionary algorithm (EA) Evolutionary algorithms interval IP networks Linear programming memetic algorithm (MA) Memetics multiobjective optimization Multiple objective analysis Optimization Pareto optimization Search problems Searching Sun Uncertainty
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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