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Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4424970
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dc.titleA distributed co-evolutionary particle Swarm Optimization Algorithm
dc.contributor.authorLiu, D.S.
dc.contributor.authorTan, K.C.
dc.contributor.authorHo, W.K.
dc.date.accessioned2014-06-19T02:53:06Z
dc.date.available2014-06-19T02:53:06Z
dc.date.issued2007
dc.identifier.citationLiu, D.S., Tan, K.C., Ho, W.K. (2007). A distributed co-evolutionary particle Swarm Optimization Algorithm. 2007 IEEE Congress on Evolutionary Computation, CEC 2007 : 3831-3838. ScholarBank@NUS Repository. https://doi.org/10.1109/CEC.2007.4424970
dc.identifier.isbn1424413400
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/68779
dc.description.abstractThis paper introduces a distributed co-evolutionary particle swarm optimization algorithm (DCPSO). In DCPSO, the population is decomposed into the subpopulations that are each responsible for optimizing one parameter, and co-evolve in a competitive manner. Such co-evolution mechanism with both cooperation and competition are designed to be effective and efficient in solving multi-objective (MO) problems under distributed computation. The competition mechanism also indirectly helps DCPSO to overcome the fault-tolerance constraint in distributed computation. DCPSO shows substantial speedup from non-distributed version by sharing workload among computational nodes. In addition, a dynamic load balancing mechanism is used to further speed up the total runtime by minimizing the amount of idle time in each node. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CEC.2007.4424970
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CEC.2007.4424970
dc.description.sourcetitle2007 IEEE Congress on Evolutionary Computation, CEC 2007
dc.description.page3831-3838
dc.identifier.isiut000256053702127
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