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The algorithm\u2019s performance is studied with comparisons of canonical genetic algorithm (CGA), five versions of particle swarm optimization (PSO), local search based self-adaptive differential evolution (L-SADE), seeker optimization algorithm (SOA), biogeography based optimization (BBO) on the IEEE 30-bus and IEEE 57-bus power systems. The simulation results show that the proposed QOBBO approach performed better than the other listed algorithms and can be efficiently used for the ORPD problem.<\/p>","DOI":"10.4018\/ijeoe.2012100103","type":"journal-article","created":{"date-parts":[[2012,11,12]],"date-time":"2012-11-12T17:16:29Z","timestamp":1352740589000},"page":"38-55","source":"Crossref","is-referenced-by-count":15,"title":["Optimal Reactive Power Dispatch Using Quasi-Oppositional Biogeography-Based Optimization"],"prefix":"10.4018","volume":"1","author":[{"given":"Provas Kumar","family":"Roy","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Dr. B. C. 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