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This hybrid approach seeks to harmonize exploitation and exploration stages by leveraging the unique advantages of each parent algorithm. The efficacy of SMVO was assessed using 23 benchmark test functions, revealing its competitive performance against not only SCA and MVO but also the ant lion optimization (ALO) and the dragonfly algorithm (DA). Additionally, SMVO\u2019s applicability was further validated by successfully addressing three distinct engineering optimization challenges, underscoring its stability and promise as a global optimization tool. <\/jats:p>","DOI":"10.1142\/s1469026824500020","type":"journal-article","created":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T07:10:07Z","timestamp":1710400207000},"source":"Crossref","is-referenced-by-count":11,"title":["Development of Novel Hybrid Multi-Verse Optimizer with Sine Cosine Algorithm for Better Global Optimization"],"prefix":"10.1142","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9788-0627","authenticated-orcid":false,"given":"Pham Vu Hong","family":"Son","sequence":"first","affiliation":[{"name":"Ho Chi Minh City University of Technology (HCMUT), Vietnam National University (VNU-HCM), Ho Chi Minh City, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8299-1244","authenticated-orcid":false,"given":"Nguyen Dang Nghiep","family":"Trinh","sequence":"additional","affiliation":[{"name":"Ho Chi Minh City University of Technology (HCMUT), Vietnam National University (VNU-HCM), Ho Chi Minh City, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2024,3,14]]},"reference":[{"key":"S1469026824500020BIB001","volume-title":"Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control","author":"Spall J. 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