{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T01:05:10Z","timestamp":1774314310044,"version":"3.50.1"},"reference-count":16,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2014,4]]},"abstract":"<jats:p> Obtaining multi-objective optimization solutions with a small number of points smartly distributed along the Pareto front is a challenge. Optimization methods, such as the normalized normal constraint (NNC), propose the use of a filter to achieve a smart Pareto front distribution. The NCC optimization method presents several disadvantages related with the procedure itself, initial condition dependency, and computational burden. In this article, the epsilon-variable multi-objective genetic algorithm (ev-MOGA) is presented. This algorithm characterizes the Pareto front in a smart way and removes the disadvantages of the NNC method. Finally, examples of a three-bar truss design and controller tuning optimizations are presented for comparison purposes. <\/jats:p>","DOI":"10.1142\/s021821301450002x","type":"journal-article","created":{"date-parts":[[2013,10,31]],"date-time":"2013-10-31T02:43:39Z","timestamp":1383187419000},"page":"1450002","source":"Crossref","is-referenced-by-count":13,"title":["A Smart-Distributed Pareto Front Using the ev-MOGA Evolutionary Algorithm"],"prefix":"10.1142","volume":"23","author":[{"given":"J. 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