The most common problem in vertical transportation using elevator group appears when a
passenger wants to travel from a floor to other different floor in a building. The passenger
makes a hall call by pressing a landing call button installed at the floor and located near the
cars of the elevator group. After that, the elevator controller receives the call and identifies
which one of the elevators in the group is most suitable to serve the person having issued
the call. In this paper, we have developed different elevator group controllers based on
genetic and tabu search algorithms. Even though genetic algorithm has been previously
considered in vertical transportation problems, the use of tabu search approaches is a
novelty in vertical transportation and has not been considered previously. Tests have been
carried out for high-rise buildings considering diverse sizes in the group of cars. Results
indicate that the waiting time and journey time of passengers were significantly improved
when dealing with such soft computing approaches. Also, a quickly evaluable solution
quality function in the algorithms allows suitable computational times for industry
implementation
