Please use this identifier to cite or link to this item: https://doi.org/10.1109/CEC.2007.4424970
Title: A distributed co-evolutionary particle Swarm Optimization Algorithm
Authors: Liu, D.S.
Tan, K.C. 
Ho, W.K. 
Issue Date: 2007
Source: Liu, 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
Abstract: This 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.
Source Title: 2007 IEEE Congress on Evolutionary Computation, CEC 2007
URI: http://scholarbank.nus.edu.sg/handle/10635/68779
ISBN: 1424413400
DOI: 10.1109/CEC.2007.4424970
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