Standard Swarm Optimization to Solve Machine Scheduling Problem with Fuzzy Starting Time
One of machine scheduling problems called machine time scheduling. The starting time in this problem will be assumed fuzzy with trapezoid membership function. A standard particle swarm optimization algorithm with constriction factor has been developed to find the best shape of membership function to find best starting time for each machine in each cycle by mean max defuzzification method.
Keywords: Machine Time Scheduling, Particle Swarm optimization, Fuzzy, Time Window, Trapezoid membership function, mean max defuzzification method
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ABOUT THE AUTHORS
Y. M. Assem
Computer Engineering Dept., Faculty of Computers and Information Technology, Taif University Taif, KSA
A. A. El-Sawy
Computer Science Dept., Faculty of Computers and Information, Benha University Egypt
Y. A. Nada
Computer Engineering Dept., Faculty of Computers and Information Technology, Taif University Taif, KSA
Y. M. Assem
Computer Engineering Dept., Faculty of Computers and Information Technology, Taif University Taif, KSA
A. A. El-Sawy
Computer Science Dept., Faculty of Computers and Information, Benha University Egypt
Y. A. Nada
Computer Engineering Dept., Faculty of Computers and Information Technology, Taif University Taif, KSA
