Optimal Elevator Group Control Using Genetic Algorithms
نویسنده
چکیده
This paper presents an optimal control strategy for elevator group in large buildings. An elevator group controller allocates different elevators to up and down hall calls that coming from different floors. The control strategy is a precondition to minimize mainly the average waiting time of hall calls. In this paper, two genetic algorithms are developed to treat efficiently the elevator group problem. The first one handles the set of up and down hall calls while their destination floors are unknown at this moment. The second one handles the hall calls in assuming that their destination floors are known. The simulation results of the proposed algorithms gave a superior performance to that obtained with a traditional control in the industry (duplex algorithm). Copyright © 2005 IFAC
منابع مشابه
Optimal Car Dispatching For Elevator Groups Using Genetic Algorithms
The car dispatching problem in an elevator group consists of assigning cars to the hall calls at the same time that car call are served. The problem needs to coordinate the movements of individual cars with the objective of operating efficiently the whole group. In this paper, we propose an elevator group control system based on a genetic algorithm which makes use of a novel fitness function to...
متن کاملImmunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving
Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. Although there are many studies in the literature about this topic, they are still not effective enough because they are not able to evaluate all features of system. In this paper, a new approach of...
متن کاملMulti-objective Optimization of Semi-active Control of Seismically Exited Buildings Using Variable Damper and Genetic Algorithms
Semi-active fluid viscous dampers as a subset of control systems have shown their ability to reduce seismic responses of tall buildings. In this paper, multi-objective optimization of the performance of this group of dampers in reducing the seismic responses of buildings is studied using multi-objective genetic algorithms. For numerical example, two 7 and 18 stories buildings are chosen and mod...
متن کاملTimed Petri net based approach for elevator group controls
In this paper, an optimal group control for elevator systems is proposed with timed Petri net based approach. Elevator system is modeled by timed Petri nets and hall call response times are estimated with moment generating functions (MGFs) method, which is applicable to real traffic patterns. Two assignment policies are proposed to satisfy the demands of passengers (i.e. hall/car calls) and to ...
متن کاملA particle swarm optimization algorithm for optimal car-call allocation in elevator group control systems
High-rise buildings require the installation of complex elevator group control systems (EGCS). In vertical transportation, when a passenger makes a hall call by pressing a landing call button installed at the floor and located near the cars of the elevator group, the EGCS must allocate one of the cars of the group to the hall call. We develop a Particle Swarm Optimization (PSO) algorithm to dea...
متن کامل