WD2O: a novel wind driven dynamic optimization approach with effective change detection
Author:
Funder
CNEPRU
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/article/10.1007/s10489-017-0895-2/fulltext.html
Reference45 articles.
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3. Du K L, Swamy MNS (2016) Search and optimization by metaheuristics: techniques and algorithms inspired by nature, Springer International Publishing
4. Toffolo A, Benini E (2003) Genetic diversity as an objective in multi-objective evolutionary algorithms. Evol Comput 11(2):151–167. doi: 10.1162/106365603766646816
5. Yang S, Yao X (2005) Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Comput 9(11):815–834. doi: 10.1007/s00500-004-0422-3
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