A differential evolution algorithm for dynamic multi-objective optimization

Dynamic multi-objective optimization problems are widespread in real life. Artificial equivalents of the problems are abound in literature. Evolutionary algorithms are nature-inspired search algorithms used in finding optimal trade-off solutions of dynamic multi-objective optimization problems. This...

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Bibliographic Details
Published in:SSCI : 2017 IEEE Symposium Series on Computational Intelligence : November 27, 2017-December 1, 2017 pp. 1 - 10
Main Authors: Adekunle, R. Adekoya, Helbig, Marde
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2017
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