The fluctuation of passenger flows at different time and locations has prompted operators to take an approach that mixes part routes and full ones. This paper, with the goal of minimizing passengers' waiting time, train travel time and distance, explores a multi-objective optimization by improving routing plans. The authors also use the weighted linear combination to translate the multi-objective model into a single objective which could be solved by the controlled random search algorithm(CRS). The finding,...
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