A bi-objective optimization framework for three-dimensional road alignment design |
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| Affiliation: | 1. School of Economics & Management, Tongji University, Shanghai 200092, P.R. China;2. Department of Industrial Engineering & Logistics Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong;3. School of data & computer science, Sun Yat-sen University, Gangzhou 510275, P.R. China;4. Laboratoire Génie Industriel, Centrale Supélec, Université Paris-Saclay, Grande Voie des Vignes, 92290 Châtenay-Malabry, France |
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| Abstract: | Optimization of three-dimensional road alignments is a nonlinear non-convex optimization problem. The development of models that fully optimize a three-dimensional road alignment problem is challenging due to numerous factors involved and complexities in the geometric specification of the alignment. In this study, we developed a novel bi-objective optimization approach to solve a three dimensional road alignment problem where the horizontal and vertical alignments are optimized simultaneously. Two conflicting cost objective functions, earthwork cost and the utility cost, are cast in a bi-objective optimization problem. We numerically compare several multi-objective optimization solvers, and find that it is possible to determine the Pareto front in a reasonable time. |
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| Keywords: | Road design Horizontal alignment Surrogate modeling Multi-objective optimization Earthwork cost Utility costs |
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