Paper Title:
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.

  Info
Periodical
Edited by
Qi Luo
Pages
1499-1503
DOI
10.4028/www.scientific.net/AMM.58-60.1499
Citation
J. X. Chen, Y. Y. Guo, M. X. Lv, "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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