Abstract
Highway alignment design is always treated as a complicated multi-objective related question which can be solved by a life circle cost minimization model. Life circle cost minimization model, involves main cost-related factors considered in highway alignment design, is discussed in this paper. A new genetic algorithm with a powerful genetic operator for alignment design is proposed for this model. This algorithm, retaining the evolving stability of those superior individuals, fully enhances the converging speed, solution accuracy and make up the deficiencies in generality of conventional method in coping with prematurity. Experiments show that the new method makes remarkable progress in robustness and effectiveness compared with other methods and possesses significant values in engineering applications.
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