Parallel Line-Up Competition Algorithm for Continuous Optimization

Abstract:

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This paper presents a new parallel line-up competition algorithm (PLCA) for solving continuous optimization problems. A coarse-grained parallel model has been used to implement the PLCA. In this model, the whole family is equally divided into several subfamily groups that evolve independently in single processor. When migration condition is reached, a portion of fit families in each subfamily group migrate to the neighboring node according to a ring migration topology. The proposed algorithm has been evaluated by solving a set of well-known test functions. Simulation results show that PLCA has good parallel efficiency and superior performance.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

161-166

DOI:

10.4028/www.scientific.net/AMM.20-23.161

Citation:

B. Shi et al., "Parallel Line-Up Competition Algorithm for Continuous Optimization", Applied Mechanics and Materials, Vols. 20-23, pp. 161-166, 2010

Online since:

January 2010

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Price:

$35.00

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