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Aiming at the fact that the ALO algorithm is more likely to fall into the local optimum, proposes three strategies to improve the classic ALO algorithm in this paper. First of all, we adopt a parallel idea in the algorithm, through the communication strategy between groups based on Quantum-Behaved to enhance the diversity of the population. Secondly, we adopted two strategies, Opposition Learning, and Gaussian Mutation, to balance the performance of exploration and exploitation during the execution of the algorithm, further formed the MSALO algorithm. The CEC2013 Benchmark function is selected as the standard, and MSALO is compared with other intelligent optimization algorithms. The experimental results show that MSALO has stronger optimization performance compared with other intelligent algorithms. Besides, we applied MSALO to the practical scenarios of feature selection, and use SVM classifiers as training evaluators to improve the accuracy of feature extraction from high-dimensional data.<\/jats:p>","DOI":"10.3233\/jifs-219315","type":"journal-article","created":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T11:52:49Z","timestamp":1646999569000},"page":"2155-2166","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-strategy improved parallel antlion algorithm and applied to feature selection"],"prefix":"10.1177","volume":"43","author":[{"given":"Qing","family":"Feng","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeng-Shyang","family":"Pan","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi-Gang","family":"Du","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan-jun","family":"Peng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shu-Chuan","family":"Chu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China"},{"name":"College of Science and Engineering, Flinders University, Clovelly Park, SA, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,3,7]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.5120\/ijca2015906480"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2016.09.104"},{"issue":"2","key":"e_1_3_2_4_2","first-page":"90","article-title":"Applying adaptiveand self assessment fish migration optimization on localization ofwireless sensor network on 3-d terrain","volume":"11","author":"Chai Q.-W.","year":"2020","unstructured":"ChaiQ.-W., ChuS.-C., PanJ.-S. and ZhengW.-M., Applying adaptiveand self assessment fish migration optimization on localization ofwireless sensor network on 3-d terrain, Journal of InformationHiding and Multimedia Signal Processing 11(2) (2020), 90\u2013102.","journal-title":"Journal of InformationHiding and Multimedia Signal Processing"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"e_1_3_2_6_2","first-page":"1208","article-title":"Discovering highutility-occupancy patterns from uncertain data","volume":"546","author":"Chen C.-M.","year":"2021","unstructured":"ChenC.-M., ChenL., GanW., QiuL. and DingW., Discovering highutility-occupancy patterns from uncertain data, InformationSciences 546 (2021), 1208\u20131229.","journal-title":"InformationSciences"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","unstructured":"ChenC.-M. 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