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Results demonstrated that the proposed approach converged to promising solutions in terms of quality and convergence rate when compared with the original biogeography-based optimization and other population based optimization techniques like simple genetic algorithm, mixed integer genetic algorithm, particle swarm optimization and craziness based particle swarm optimization.<\/p>","DOI":"10.4018\/ijeoe.2013070106","type":"journal-article","created":{"date-parts":[[2013,11,12]],"date-time":"2013-11-12T17:43:30Z","timestamp":1384278210000},"page":"86-101","source":"Crossref","is-referenced-by-count":5,"title":["Hybridization of Biogeography-Based"],"prefix":"10.4018","volume":"2","author":[{"given":"Provas Kumar","family":"Roy","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Dr. B. C. Roy Engineering College, Durgapur, West Bengal, India"}]},{"given":"Dharmadas","family":"Mandal","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Birbhum Institute of Engineering and Technology, Suri, West Bengal, India"}]}],"member":"2432","reference":[{"key":"ijeoe.2013070106-0","doi-asserted-by":"publisher","DOI":"10.1080\/15325000252888425"},{"key":"ijeoe.2013070106-1","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2007.907375"},{"key":"ijeoe.2013070106-2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2010.2043270"},{"key":"ijeoe.2013070106-3","doi-asserted-by":"publisher","DOI":"10.1049\/iet-gtd.2011.0593"},{"key":"ijeoe.2013070106-4","doi-asserted-by":"publisher","DOI":"10.1016\/0142-0615(79)90026-7"},{"key":"ijeoe.2013070106-5","unstructured":"Chunjie, L., Huiru, Z., & Chen, T. (2010). The hybrid differential evolution algorithm for optimal power flow based on simulated annealing and Tabu search, 2010. 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