{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T23:14:21Z","timestamp":1768346061505,"version":"3.49.0"},"reference-count":9,"publisher":"MIT Press - Journals","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Evolutionary Computation"],"published-print":{"date-parts":[[2003,6]]},"abstract":"<jats:p> A key feature of an efficient and reliable multi-objective evolutionary algorithm is the ability to maintain genetic diversity within a population of solutions. In this paper, we present a new diversity-preserving mechanism, the Genetic Diversity Evaluation Method (GeDEM), which considers a distance-based measure of genetic diversity as a real objective in fitness assignment. This provides a dual selection pressure towards the exploitation of current non-dominated solutions and the exploration of the search space. We also introduce a new multi-objective evolutionary algorithm, the Genetic Diversity Evolutionary Algorithm (GDEA), strictly designed around GeDEM and then we compare it with other state-of-the-art algorithms on a well-established suite of test problems. Experimental results clearly indicate that the performance of GDEA is top-level. <\/jats:p>","DOI":"10.1162\/106365603766646816","type":"journal-article","created":{"date-parts":[[2003,7,2]],"date-time":"2003-07-02T21:15:12Z","timestamp":1057180512000},"page":"151-167","source":"Crossref","is-referenced-by-count":173,"title":["Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms"],"prefix":"10.1162","volume":"11","author":[{"given":"Andrea","family":"Toffolo","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering, University of Padova, Via Venezia 1, 35131 Padova, ITALY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ernesto","family":"Benini","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Padova, Via Venezia 1, 35131 Padova, ITALY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"281","reference":[{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.2514\/2.5995"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1115\/1.1510868"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1999.7.3.205"},{"key":"p_12","doi-asserted-by":"publisher","DOI":"10.1007\/BF01759923"},{"key":"p_20","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1994.2.3.221"},{"key":"p_21","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-5442(02)00009-9"},{"key":"p_23","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568158"},{"key":"p_24","doi-asserted-by":"publisher","DOI":"10.1162\/106365600568202"},{"key":"p_25","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"}],"container-title":["Evolutionary Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mitpressjournals.org\/doi\/pdf\/10.1162\/106365603766646816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T21:30:49Z","timestamp":1615584649000},"score":1,"resource":{"primary":{"URL":"https:\/\/direct.mit.edu\/evco\/article\/11\/2\/151-167\/1148"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,6]]},"references-count":9,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2003,6]]}},"alternative-id":["10.1162\/106365603766646816"],"URL":"https:\/\/doi.org\/10.1162\/106365603766646816","relation":{},"ISSN":["1063-6560","1530-9304"],"issn-type":[{"value":"1063-6560","type":"print"},{"value":"1530-9304","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,6]]}}}