{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T01:48:00Z","timestamp":1648691280244},"reference-count":43,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2012,6]]},"abstract":" In the present study we propose a new hybrid version of Differential Evolution (DE) and Particle Swarm Optimization (PSO) algorithms called Hybrid DE or HDE for solving continuous global optimization problems. In the proposed HDE algorithm, information sharing mechanism of PSO is embedded in the contracted search space obtained by the basic DE algorithm. This is done to maintain a balance between the two antagonist factors; exploration and exploitation thereby obtaining a faster convergence. The embedding of swarm directions to the basic DE algorithm is done with the help of a \"switchover constant\" called \u03b1 which keeps a record of the contraction of search space. The proposed HDE algorithm is tested on a set of 10 unconstrained benchmark problems and four constrained real life, mechanical design problems. Empirical studies show that the proposed scheme helps in improving the convergence rate of the basic DE algorithm without compromising with the quality of solution. <\/jats:p>","DOI":"10.1142\/s0218213012400131","type":"journal-article","created":{"date-parts":[[2012,6,27]],"date-time":"2012-06-27T13:55:12Z","timestamp":1340805312000},"page":"1240013","source":"Crossref","is-referenced-by-count":7,"title":["SWARM DIRECTIONS EMBEDDED DIFFERENTIAL EVOLUTION FOR FASTER CONVERGENCE OF GLOBAL OPTIMIZATION PROBLEMS"],"prefix":"10.1142","volume":"21","author":[{"given":"MUSRRAT","family":"ALI","sequence":"first","affiliation":[{"name":"Department of Computer Science, Sungkyunkwan University, Suwon 440-746, Republic of Korea"}]},{"given":"MILLIE","family":"PANT","sequence":"additional","affiliation":[{"name":"Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India"}]},{"given":"AJITH","family":"ABRAHAM","sequence":"additional","affiliation":[{"name":"Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, Norway"}]},{"given":"CHANG WOOK","family":"AHN","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Sungkyunkwan University, Suwon 440-746, Republic of Korea"}]}],"member":"219","published-online":{"date-parts":[[2012,6,28]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2002.801992"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2005.06.077"},{"key":"rf6","volume-title":"Introduction to Optimum Design","author":"Arora J. 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