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

Jian Xin Chen; Yong Yi Guo; Mai Xia Lv

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60An Adaptive Genetic Algorithm Based on...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

1499-1503

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.1499

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Online since:

June 2011

Authors:

Jian Xin Chen, Yong Yi Guo, Mai Xia Lv

Keywords:

Cost, Genetic Algorithm (GA), Highway Design, Parallel Evolutionary

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