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The ETBBPSO is designed to present high precision results for high dimensional single-objective optimization problems. Particles in the ETBBPSO are divided into different orbits. A transition operator is proposed to enhance the global search ability of ETBBPSO. The transition behavior of particles gives the swarm more chance to escape from local minimums. In addition, an orbit merge operator is proposed in this paper. An orbit with low search ability will be merged by an orbit with high search ability. Extensive experiments with CEC2014 and CEC2020 are evaluated with ETBBPSO. Four famous population-based algorithms are also selected in the control group. Experimental results prove that ETBBPSO can present high precision results for high dimensional single-objective optimization problems.<\/jats:p>","DOI":"10.1371\/journal.pone.0271925","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T17:27:05Z","timestamp":1658770025000},"page":"e0271925","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":12,"title":["An electronic transition-based bare bones particle swarm optimization algorithm for high dimensional optimization problems"],"prefix":"10.1371","volume":"17","author":[{"given":"Hao","family":"Tian","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5042-4045","authenticated-orcid":true,"given":"Jia","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiyang","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8387-7710","authenticated-orcid":true,"given":"Yuji","family":"Sato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"340","published-online":{"date-parts":[[2022,7,25]]},"reference":[{"issue":"2\/3","key":"pone.0271925.ref001","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1023\/A:1016568309421","article-title":"Recent approaches to global optimization problems through Particle Swarm Optimization","volume":"1","author":"KE Parsopoulos","year":"2002","journal-title":"Natural Computing"},{"key":"pone.0271925.ref002","first-page":"157","volume-title":"A Survey of Some Model-Based Methods for Global Optimization. In: Optimization, Control, and Applications of Stochastic Systems","author":"J Hu","year":"2012"},{"issue":"6","key":"pone.0271925.ref003","doi-asserted-by":"crossref","DOI":"10.1109\/2.294849","article-title":"Genetic Algorithms: A Survey","volume":"27","author":"M Srinivas","year":"1994","journal-title":"Computer"},{"issue":"1","key":"pone.0271925.ref004","article-title":"Differential evolution: A survey of the state-of-the-art","volume":"15","author":"S Das","year":"2011","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"pone.0271925.ref005","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R. Particle swarm optimization. Neural Networks, 1995 Proceedings, IEEE International Conference on. 4:1942\u20131948 vol.4. https:\/\/doi.org\/10.1109\/ICNN.1995.488968","DOI":"10.1109\/ICNN.1995.488968"},{"key":"pone.0271925.ref006","article-title":"Ant colony optimization theory: A survey","author":"M Dorigo","year":"2005","journal-title":"Theoretical Computer Science"},{"issue":"8 August 2021","key":"pone.0271925.ref007","first-page":"1","article-title":"An improved Wolf pack algorithm for optimization problems: Design and evaluation","volume":"16","author":"X Chen","year":"2021","journal-title":"PLoS ONE"},{"issue":"9 September","key":"pone.0271925.ref008","first-page":"1","article-title":"An improved ant colony optimization algorithm based on context for tourism route planning","volume":"16","author":"S Liang","year":"2021","journal-title":"PLoS ONE"},{"issue":"2","key":"pone.0271925.ref009","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1109\/TSMCA.2011.2159586","article-title":"Phase angle-encoded and quantum-behaved particle swarm optimization applied to three-dimensional route planning for UAV","volume":"42","author":"Y Fu","year":"2012","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans"},{"issue":"6","key":"pone.0271925.ref010","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1007\/s00500-013-1128-1","article-title":"Cooperative bare-bone particle swarm optimization for data clustering","volume":"18","author":"B Jiang","year":"2014","journal-title":"Soft Computing"},{"issue":"5","key":"pone.0271925.ref011","doi-asserted-by":"crossref","first-page":"3499","DOI":"10.1007\/s00500-019-04114-z","article-title":"Semi-supervised data clustering using particle swarm optimisation","volume":"24","author":"DTC Lai","year":"2020","journal-title":"Soft Computing"},{"issue":"3","key":"pone.0271925.ref012","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0173907","article-title":"Adaptive feature selection using 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Computing"},{"issue":"24","key":"pone.0271925.ref022","doi-asserted-by":"crossref","DOI":"10.1007\/s00500-016-2307-7","article-title":"Biogeography-based learning particle swarm optimization","volume":"21","author":"X Chen","year":"2017","journal-title":"Soft Computing"},{"issue":"3","key":"pone.0271925.ref023","doi-asserted-by":"crossref","first-page":"783","DOI":"10.1007\/s00500-016-2383-8","article-title":"CS-PSO: chaotic particle swarm optimization algorithm for solving combinatorial optimization problems","volume":"22","author":"X Xu","year":"2018","journal-title":"Soft Computing"},{"key":"pone.0271925.ref024","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.swevo.2018.01.011","article-title":"MPSO: Modified particle swarm optimization and its applications","volume":"41","author":"D Tian","year":"2018","journal-title":"Swarm and Evolutionary Computation"},{"issue":"19","key":"pone.0271925.ref025","doi-asserted-by":"crossref","DOI":"10.1007\/s00500-018-3536-8","article-title":"Phasor particle swarm optimization: a simple and efficient variant of PSO","volume":"23","author":"M Ghasemi","year":"2019","journal-title":"Soft Computing"},{"issue":"6","key":"pone.0271925.ref026","first-page":"1","article-title":"Fractional-order quantum particle swarm optimization","volume":"14","author":"L Xu","year":"2019","journal-title":"PLoS ONE"},{"issue":"3 March","key":"pone.0271925.ref027","first-page":"1","article-title":"Simple gravitational particle swarm algorithm for multimodal optimization problems","volume":"16","author":"Y Yamanaka","year":"2021","journal-title":"PLoS ONE"},{"key":"pone.0271925.ref028","first-page":"80","article-title":"Bare bones particle swarms. In: Proceedings of the 2003 IEEE Swarm Intelligence Symposium","author":"J Kennedy","year":"2003","journal-title":"SIS\u201903"},{"issue":"3","key":"pone.0271925.ref029","article-title":"A Pair-wise Bare Bones Particle Swarm Optimization Algorithm for Nonlinear Functions","volume":"5143","author":"J Guo","year":"2017","journal-title":"International Journal of Networked and Distributed Computing"},{"key":"pone.0271925.ref030","doi-asserted-by":"crossref","unstructured":"Guo J, Sato Y. A Hierarchical Bare Bones Particle Swarm Optimization Algorithm. In: 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE; 2017. p. 1936\u20131941.","DOI":"10.1109\/SMC.2017.8122901"},{"key":"pone.0271925.ref031","first-page":"158","article-title":"A Bare Bones Particle Swarm Optimization Algorithm with Dynamic Local Search","volume":"vol. 248","author":"J Guo","year":"2017","journal-title":"Studies in Computational Intelligence"},{"issue":"3","key":"pone.0271925.ref032","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1007\/s10015-018-0440-3","article-title":"A dynamic allocation bare bones particle swarm optimization algorithm and its application","volume":"23","author":"J Guo","year":"2018","journal-title":"Artificial Life and Robotics"},{"issue":"10","key":"pone.0271925.ref033","doi-asserted-by":"crossref","first-page":"3641","DOI":"10.1007\/s10489-019-01474-9","article-title":"A fission-fusion hybrid bare bones particle swarm optimization algorithm for single-objective optimization problems","volume":"49","author":"J Guo","year":"2019","journal-title":"Applied Intelligence"},{"issue":"3","key":"pone.0271925.ref034","doi-asserted-by":"crossref","first-page":"477","DOI":"10.18178\/ijmlc.2020.10.3.960","article-title":"A Standardized Bare Bones Particle Swarm Optimization Algorithm for Traveling Salesman Problem","volume":"10","author":"J Guo","year":"2020","journal-title":"International Journal of Machine Learning and Computing"}],"container-title":["PLOS ONE"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0271925","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T17:28:00Z","timestamp":1658770080000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pone.0271925"}},"subtitle":[],"editor":[{"given":"Seyedali","family":"Mirjalili","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2022,7,25]]},"references-count":34,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,7,25]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pone.0271925","relation":{},"ISSN":["1932-6203"],"issn-type":[{"value":"1932-6203","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,25]]}}}