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An important issue is to identify an algorithm suitable for finding accurate solutions within a limited or acceptable time. To address this issue, four representative evolutionary algorithms, including genetic algorithm, differential evolution algorithm, particle swarm optimization algorithm, and gravitational search algorithm, are selected to combine individual IVBDs of alternatives and generate the minimum and maximum expected utilities of alternatives. By performing experiments with different numbers of criteria and grades, a comparative analysis of the four algorithms is provided with the aid of two indicators: accuracy and efficiency. Experimental results indicate that particle swarm optimization algorithm is the best among the four algorithms for combining individual IVBDs and generating the minimum and maximum expected utilities of alternatives.<\/jats:p>","DOI":"10.3233\/idt-190125","type":"journal-article","created":{"date-parts":[[2020,8,25]],"date-time":"2020-08-25T14:21:35Z","timestamp":1598365295000},"page":"373-391","source":"Crossref","is-referenced-by-count":1,"title":["Comparative analysis of evolutionary algorithms for multiple criteria decision making with interval-valued belief distributions"],"prefix":"10.1177","volume":"14","author":[{"given":"Guangyan","family":"Lu","sequence":"first","affiliation":[{"name":"Department of Operation Management, CRRC Qishuyan Institute Co., Ltd, Changzhou, Jiangsu 213011, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjun","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Management, Hefei University of Technology, 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