MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS: FOUNDATION, DEVELOPMENT AND OPEN ISSUES
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DOI:
https://doi.org/10.15625/1813-9663/33/3/11111Keywords:
Evolutionary computation, multi-objective evolutionary algorithms, optimizationAbstract
Evolutionary computation (EC) has been a fascinating branch of computation inspiredby a natural phenomenal of evolution. EC enables computer scientists to design eective algorithmsdealing dicult problems. This paper focuses on a special class problem called multi-objective optimizationproblems and evolutionary algorithms designed for it. We will overview the development ofmulti-objective evolutionary algorithms (MOEAs) over the years and problem diculties and thenindicate the open problems in this area. Our chief goal is to provide readers reference material in thearea of multi-objective evolutionary algorithmsMetrics
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Published
20-03-2018
How to Cite
[1]
B. T. Lâm, “MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS: FOUNDATION, DEVELOPMENT AND OPEN ISSUES”, JCC, vol. 33, no. 3, p. 193–212, Mar. 2018.
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Computer Science
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