An Adaptive Genetic Algorithm Based on Multi-Population Parallel Evolutionary for Highway Alignment Optimization Model

Abstract:

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Based on the characteristics of the highway design, this paper transfers all the factors involved in the highway design to a cost-optimized-oriented model and designs a variety parallel genetic algorithm to optimize highway design. While maintaining evolution stability of excellent individual, the algorithm can improve convergence rate and accuracy and avoid premature convergence generated by single-population evolution. To some extent, it makes up generalization-lacking defects of a single species or steady parameters in premature overcoming. Finally, the algorithm is verified with a good result. This algorithm provides a useful method for highway design.

Info:

Periodical:

Edited by:

Qi Luo

Pages:

1499-1503

DOI:

10.4028/www.scientific.net/AMM.58-60.1499

Citation:

J. X. Chen et al., "An Adaptive Genetic Algorithm Based on Multi-Population Parallel Evolutionary for Highway Alignment Optimization Model", Applied Mechanics and Materials, Vols. 58-60, pp. 1499-1503, 2011

Online since:

June 2011

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Price:

$35.00

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