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- W2382358325 abstract "To investigate the problem of elevator group scheduling,a model was proposed based on robust optimization(RO)and solved by using genetic algorithm(GA).For uncertain linear optimization,the choice of uncertain set and transformation of robust counterpart were investigated.Virtual simulation environment of elevator group control system was adopted to validate the RO scheduling algorithm under different traffic flows.Numerical experiments showed that the average waiting time of RO was 12.77 s shorter than that of static zoning algorithm,the average journey time was 9.7 s shorter than that of minimum waiting time algorithm,and the elevator stop times was 8 times less than that of static zoning algorithm.The RO algorithm was more adaptable under different traffic modes.It can diminish the impact of traffic uncertainty and improve the performance of elevator group scheduling evidently." @default.
- W2382358325 created "2016-06-24" @default.
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- W2382358325 date "2007-01-01" @default.
- W2382358325 modified "2023-09-24" @default.
- W2382358325 title "Robust Optimization Model of Elevator Group Scheduling Based on Genetic Algorithm" @default.
- W2382358325 hasPublicationYear "2007" @default.
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