Abstract
This paper focuses on obtaining an optimal speed trajectory for a train regarding its energy consumption as well as its travelling time simultaneously. Dynamic model of a train on a predefined track including slopes and tunnels is developed. Considering complexity of analytical optimization method for antithetic objectives, NSGA-II and MOPSO evolutionary algorithms are employed to solve the multi objective optimization problem. A novel control index is defined instantaneously so that the important issue of passenger comfort is taken into account specifically. As a case study a Voyager train parameters are used to simulate the whole system via MATLAB software. Simulation results show the efficiency of the proposed methods to find the desired optimal speed trajectory as well as providing suitable passenger comfort.
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