Genetic algorithm-based temporary elevator planning from a spatio-temporal perspective

Abstract: For temporary elevator planning, optimization with meta-heuristic algorithms is an effective approach. Existing temporary elevator planning is rarely conducted from a spatio-temporal perspective. This research proposes a spatio-temporal planning model with a genetic algorithm to address this deficiency. The experiment test results show that the total cost of the optimized solution is reduced by 37.48% compared to the initial solution. The proposed model solves the limitation that the service day and floor of temporary elevators are planned separately, which, when considered simultaneously, help reduce the cost of temporary elevators.