A distributed co-evolutionary particle Swarm Optimization Algorithm

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
Citation:	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
Appears in Collections:	Staff Publications

There are no files associated with this item.

Check