Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global...
Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling
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Basel: MDPI AG
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English
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Basel: MDPI AG
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This paper presents a novel dynamic Jellyfish Search Algorithm using a Simulated Annealing and disruption operator, called DJSD. The developed DJSD method incorporates the Simulated Annealing operators into the conventional Jellyfish Search Algorithm in the exploration stage, in a competitive manner, to enhance its ability to discover more feasible...
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Dynamic Jellyfish Search Algorithm Based on Simulated Annealing and Disruption Operators for Global Optimization with Applications to Cloud Task Scheduling
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TN_cdi_doaj_primary_oai_doaj_org_article_26b43b121cc5428ba50f7115fdf9e293
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_26b43b121cc5428ba50f7115fdf9e293
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math10111894
