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The proposed algorithm has been demonstrated to perform at least as good as the alternatives found in the literature in problems where the Pareto front presents convexity, nonconvexity, or discontinuity; while producing very promising results in problem instances where there is multi-modality or nonuniform distribution of the solutions along the Pareto front. <\/jats:p>","DOI":"10.1142\/s0217595916500068","type":"journal-article","created":{"date-parts":[[2016,2,25]],"date-time":"2016-02-25T11:27:31Z","timestamp":1456399651000},"page":"1650006","source":"Crossref","is-referenced-by-count":0,"title":["An Evolutionary Sequential Sampling Algorithm for Multi-Objective Optimization"],"prefix":"10.1142","volume":"33","author":[{"given":"Aristotelis E.","family":"Thanos","sequence":"first","affiliation":[{"name":"Industrial Engineering, The University of Miami, Coral Gables, FL, 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