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Therefore, the appropriate adjustment of the time-consuming control parameters is necessary to achieve optimal DE efficiency. This research proposes a new version of the DE algorithm control parameters and mutation operator. For the justifiability of the suggested method, several benchmark functions are taken from the literature. The test results are contrasted with other literary algorithms. <\/jats:p>","DOI":"10.1142\/s1793962320500294","type":"journal-article","created":{"date-parts":[[2020,9,25]],"date-time":"2020-09-25T09:56:12Z","timestamp":1601027772000},"page":"2050029","source":"Crossref","is-referenced-by-count":14,"title":["A new parameter setting-based modified differential evolution for function optimization"],"prefix":"10.1142","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0443-3797","authenticated-orcid":false,"given":"Sukanta","family":"Nama","sequence":"first","affiliation":[{"name":"Department of Mathematics, Ramthakur College Agartala, West Tripura, A.D. 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