Non-dominated Sorting Bees Algorithm for Multi-Objective Train Speed Profile Optimization
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICRARE07_025
تاریخ نمایه سازی: 6 تیر 1400
Abstract:
Considering various factors like energy consumption and travel time, speed profile optimization is regarded as a non-linear, complex multi-objective problem. In this paper, a novel approach based on the Bees algorithm (BA) is proposed to solve train speed profile optimization. In this approach, BA is modified as a non-dominated sorting BA (NSBA) which produces a population that conducts a semi-stochastic search algorithm to determine critical points for acceleration changes forming a raw template as a trajectory. Afterward by local optimizations, the trajectory is amended to meet ending requirements. The simulation results indicate on effectiveness and excellence of the proposed method
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Authors
Pedram Havaei
M.Sc Student, Department of Control Engineering and Signaling, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
Mohammad Ali Sandidzadeh
Associated Professor, Department of Control Engineering and Signaling, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran