An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problem...
An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems
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Cham: Springer International Publishing
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English
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Cham: Springer International Publishing
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In dynamic multi-objective optimization problems, the environmental parameters may change over time, which makes the Pareto fronts shifting. To address the issue, a common idea is to track the moving Pareto front once an environmental change occurs. However, it might be hard to obtain the Pareto optimal solutions if the environment changes rapidly....
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An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems
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TN_cdi_doaj_primary_oai_doaj_org_article_86409ab459ef4f79ab365f85e0194b0f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_86409ab459ef4f79ab365f85e0194b0f
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ISSN
2199-4536
E-ISSN
2198-6053
DOI
10.1007/s40747-022-00824-4