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However, the SOS can easily lead to overexploration in the parasitism phase, and it is difficult to balance between exploration and exploitation capabilities. In the present work, two extended versions of the SOS are proposed. Two different weight strategies (i.e., random-weight and adaptive-weight) are utilized to generate the weighted mutual vector, respectively. Meanwhile, the best organism is employed to produce the modified artificial parasite vector. The performance of the two improved algorithms is evaluated on 35 test functions. The results demonstrate that the proposed algorithms are able to provide very promising results. Furthermore, five real-world problems are solved by the two newly proposed methods. Experimental results demonstrate that the presented algorithms are more efficient than the compared algorithms. All the obtained results further indicate that the two proposed algorithms are competitive and provide better results when compared to a wide range of algorithms, including SOS and its five modified versions, as well as ten other meta-heuristic algorithms.<\/jats:p>","DOI":"10.1155\/2023\/1921584","type":"journal-article","created":{"date-parts":[[2023,4,25]],"date-time":"2023-04-25T04:05:08Z","timestamp":1682395508000},"page":"1-25","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems"],"prefix":"10.1155","volume":"2023","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9687-6282","authenticated-orcid":true,"given":"Pengjun","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Xidian University, Xi\u2019an, Shaanxi 710126, China"},{"name":"School of Mathematics and Computer Application, Shangluo University, Shangluo, Shaanxi 726000, China"},{"name":"Engineering Research Center of Qinling Health Welfare Big Data, Universities of Shaanxi Province, Shangluo 726000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3625-3398","authenticated-orcid":true,"given":"Sanyang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xidian University, Xi\u2019an, Shaanxi 710126, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2014.12.006"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-019-04016-0"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2020.08.014"},{"first-page":"1945","article-title":"Empirical study of particle swarm optimization","author":"Y. 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