Task scheduling for FMS based on genetic algorithm
Department of Electrical and Computer Engineering
Master of Science
Robbi, Anthony D.
Flexible manufacturing systems
A Flexible Manufacturing System (FMS) consisting of p automated guided vehicles (AGV's), m workstations and n tasks is studied. The main problem investigated in this thesis is to find an optimal or suboptimal task scheduling for p AGV's among m workstations to complete n tasks. An efficient approach based on genetic algorithms has been designed and implemented to solve the problem of task scheduling for a FMS. Near-optimal, or even optimal, task scheduling is accomplished by genetic algorithms. Simulation results on the algorithm are also discussed.
njit-etd1991-015 (84 pages ~ 3,385 KB pdf)
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Created February 21, 2002