{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,24]],"date-time":"2022-05-24T16:13:28Z","timestamp":1653408808900},"reference-count":17,"publisher":"World Scientific Pub Co Pte Lt","issue":"07","funder":[{"name":"Special Fund for Fundamental Research of Central Universities of Northeastern University","award":["61572116,61572117,61502089,2015BAH09F02,2015302002,N150408001,N150404009"],"award-info":[{"award-number":["61572116,61572117,61502089,2015BAH09F02,2015302002,N150408001,N150404009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2016,8]]},"abstract":"<jats:p> Multiobjective density driven evolutionary algorithm (MODdEA) has been quite successful in solving multiobjective optimization problems (MOPs). To further improve its performance and address its deficiencies, this paper proposes a hybrid evolutionary algorithm based on dimensional diversity (DD) and firework explosion (FE). DD is defined to reflect the diversity degree of population dimension. Based on DD, a selection scheme is designed to balance diversity and convergence. A hybrid variation based on FE and genetic operator is designed to facilitate diversity of population. The proposed algorithm is tested on 14 tests problems with diverse characteristics and compared with three state-of-the-art designs. Experimental results show that the proposed design is better or at par with the chosen state-of-the-art algorithms for multiobjective optimization. <\/jats:p>","DOI":"10.1142\/s0218001416590205","type":"journal-article","created":{"date-parts":[[2016,3,7]],"date-time":"2016-03-07T02:22:17Z","timestamp":1457317337000},"page":"1659020","source":"Crossref","is-referenced-by-count":4,"title":["A Dimensional Diversity Based Hybrid Multiobjective Evolutionary Algorithm for Optimization Problem"],"prefix":"10.1142","volume":"30","author":[{"given":"Peng","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changsheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tingting","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiaxuan","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Northeastern University, P. R. 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