Highway alignment optimization through feasible gates |
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Authors: | Min Wook Kang Paul Schonfeld Jyh‐Cherng Jong |
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Institution: | 1. Min Wook Kang and Paul Schonfeld, Department of Civil Engineering, University of Maryland, College Park, MD, USA;2. Jyh‐Cherng Jong, Civil Engineering Research Center, Sinotech Engineering Consultants, Inc., Taipei, Taiwan, R.O.C. |
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Abstract: | An efficient optimization approach, called feasible gate (FG), is developed to enhance the computation efficiency and solution quality of the previously developed highway alignment optimization (HAO) model. This approach seeks to realistically represent various user preferences and environmentally sensitive areas and consider them along with geometric design constraints in the optimization process. This is done by avoiding the generation of infeasible solutions that violate various constraints and thus focusing the search on the feasible solutions. The proposed method is simple, but improves significantly the model's computation time and solution quality. Such improvements are demonstrated with two test examples from a real road project. |
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Keywords: | Highway Alignment Optimization User‐defined Constraints Feasible Bound Horizontal Alignment Vertical Alignment Genetic Algorithms (GAs) Geographic Information Systems (GIS) Computation Efficiency and Solution quality |
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