Volume 8, Issue 1 (12-2021)                   IJRARE 2021, 8(1): 25-32 | Back to browse issues page

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Havaei P, Sandidzadeh M A. Non-dominated Sorting Bees Algorithm for Multi-Objective Train Speed Profile Optimization. IJRARE 2021; 8 (1) :25-32
URL: http://ijrare.iust.ac.ir/article-1-282-en.html
Department of Control Engineering and Signaling, School of Railway Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:   (1059 Views)
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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Type of Study: Research | Subject: Railway track and structures

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