{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T15:23:02Z","timestamp":1781104982891,"version":"3.54.1"},"reference-count":0,"publisher":"IGI Global Scientific Publishing","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,11,5]]},"abstract":"<p>Differential evolution (DE), an important evolutionary technique, enhances its parameters such as, initialization of population, mutation, crossover etc. to resolve realistic optimization issues. This work represents a modified differential evolution algorithm by using the idea of exponential scale factor and logistic map in order to address the slow convergence rate, and to keep a very good equilibrium linking exploration and exploitation. Modification is done in two ways: (i) Initialization of population and (ii) Scaling factor.The proposed algorithm is validated with the aid of a 13 different benchmark functions taking from the literature, also the outcomes are compared along with 7 different popular state of art algorithms. Further, performance of the modified algorithm is simulated on 3 realistic engineering problems. Also compared with 8 recent optimizer techniques. Again from number of function evaluations it is clear that the proposed algorithm converses more quickly than the other existing algorithms.<\/p>","DOI":"10.4018\/ijsir.2022010108","type":"journal-article","created":{"date-parts":[[2021,11,5]],"date-time":"2021-11-05T12:43:47Z","timestamp":1636116227000},"page":"1-15","source":"Crossref","is-referenced-by-count":1,"title":["Logistic Map and Exponential Scaling Factor-Based Differential Evolution"],"prefix":"10.4018","volume":"13","author":[{"given":"Katyayani","family":"Kashyap","sequence":"first","affiliation":[{"name":"Amity University, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7409-9814","authenticated-orcid":true,"given":"Sunil","family":"Pathak","sequence":"additional","affiliation":[{"name":"Amity University, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Narendra Singh","family":"Yadav","sequence":"additional","affiliation":[{"name":"Manipal University, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","container-title":["International Journal of Swarm Intelligence Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=284066","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T16:23:10Z","timestamp":1681402990000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSIR.2022010108"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,11,5]]},"references-count":0,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"URL":"https:\/\/doi.org\/10.4018\/ijsir.2022010108","relation":{},"ISSN":["1947-9263","1947-9271"],"issn-type":[{"value":"1947-9263","type":"print"},{"value":"1947-9271","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,5]]}}}