The Simulation of lift control system with genetic algorithms

In tall buildings where there is heavy traffic, the service offered by multi-car lift systems isqualitatively sufficent. Besides, the lifts are expected to work fast and efficiently, withoutwaiting and affecting the activities of the building negatively. It has become possible to applycomputer-based group control systems for the lifts to function quantitatively with a highperformance.In this study, the simulation and optimization of lift control systems with genetic algorithmshave been taken up and a developed software has been introduced. Today, genetic algorithmsare being used in a widespread way in optimization problems. By using genetic algorithms,the most suitable car or cars are directed to hall call allocations which come from the building,according to the building characteristics. The fitness function used in genetic algorithms hasbeen taken up, after the principles, types and the advantages of using genetic algorithms wereput forward. The mathematical expression of the fitness function algorithm is explained withthe help of a computer programme and the operators used in the genetic algorithm areexplained.Thanks to the simulation programme where genetic algorithm is used, a traffic analysis hasbeen made according to different building types and characteristic values; an algorithm hasbeen designed to direct the most suitable car or cars to the incoming calls and simulationresults have been obtained.For the chosen lift configuration, average journey time, average waiting time, average traveltime and performance index have been evaluated by way of graphs and the suitability of theselection has been determined. Thus, lifts are used more efficiently and the waiting andjourney time of passengers are decreased a regular traffic flow.Keywords: Lift, lift control systems, genetic algorithms