Elevator Group Supervisory Control System Using Genetic Network Programming Considering Ranking Calculation and Node Function Optimization

Genetic Network Programming (GNP) has been proposed as a new method of evolutionary computations and its basic characteristics are studied. Recently, GNP is also applied to Elevator Group Supervisory Control System (EGSCS) which is a benchmark for real world problems and its applicability and effectiveness are clarified. The elevator system is probabilistic and has some uncertain factors because of the different building specification, traffic volume, traffic flow and so on. Therefore, it is difficult to control the elevator system effectively due to such factors. EGSCS using GNP in the previous studies can control the elevator system using the conventional node functions. However, it does not have enough flexibility in various conditions of the elevator system because of its structure. In this paper, several new frameworks of GNP for EGSCS are proposed in order to overcome the above problem considering ranking calculations with regard to various evaluation items and node function optimization based on Real-coded GA. These frameworks can contribute to generate a flexible and effective structure of GNP for various conditions. From the simulation results, it is clarified that the proposed method can obtain better performances than conventional methods.

[1]  Kotaro Hirasawa,et al.  Elevator group supervisory control systems using genetic network programming , 2004, IEEE Congress on Evolutionary Computation.

[2]  R. Gudwin,et al.  A fuzzy elevator group controller with linear context adaptation , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[3]  Toshimitsu Tobita,et al.  An elevator group control system with floor attribute control method and system optimization using genetic algorithms , 1995, Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics.

[4]  Gina Carol Barney,et al.  Elevator traffic handbook , 2002 .

[5]  Andrew G. Barto,et al.  Elevator Group Control Using Multiple Reinforcement Learning Agents , 1998, Machine Learning.

[6]  Jinglu Hu,et al.  機能局在型 Genetic Network Programming の構成 , 2002 .

[7]  S. Markon,et al.  Simulation-based optimization of a controller for multi-car elevators using a genetic algorithm for noisy fitness function , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

[8]  Pablo Cortés,et al.  Genetic algorithm for controllers in elevator groups: analysis and simulation during lunchpeak traffic , 2004, Appl. Soft Comput..