The paper introduces a genetic algorithms based elevator group control system utilising new approaches to multiobjective optimisation in a dynamically changing process control environment. The problem of controlling a group of elevators as well as the basic principles of the existing single-objective genetic elevator group control method are described. The foundations of the developed multi-obj...

AT THE INTELLIGENT ROBOTICS Laboratory of Vanderbilt University’s Center for Intelligent Systems, over the past several years we have been developing a humanoid system called Intelligent Soft-Arm Control. We originally developed ISAC as a robotic aid system for the physically disabled (see Figure 1).1 It has since evolved into a test bed for human–humanoid interaction research.2,3 While working...

This paper presents a new modeling of elevator group intelligent scheduling system with destination floor guidance. The traditional input mode of separate hall call registration and the destination selection is improved to a single-input mode. On this basis, dynamic partition method in up-peak traffic is studied. This method means dynamically adjust division of floor region based on flow rate a...

A new elevator group control system is proposed. The system learns dynamic traffic flows by analyzing passenger traffic without prespecified patterns. A genetic algorithm continuously generates dispatch functions according to changes in passenger traffic. By considering the status inside elevators, the directions of passenger movement, and the number of waiting passengers, the system occasional...