Pso and Tabu Search Approaches for the Car Allocation Problem in Multi-car Elevator Systems

Heavy vertical traffic conditions appear in high-rise buildings especially during the rush-hour period. So, offered service provided by multi-car elevator systems for such buildings during that period is expected to work fast, efficiently and without long waiting times for users. The approach of our work focuses on reducing the passengers travel and waiting times. To do so Particle Swarm Optimization (PSO) and Tabu Search (TS) algorithms are applied to multi-car elevator control systems that are usually implemented in such buildings. In this paper, PSO and TS algorithms are proposed to optimize the controller of such elevator control systems and successful simulation results are provided for an illustrative example.