Title :
Integrated optimal algorithm for flexible job shop scheduling with due-date window
Author_Institution :
Sch. of Phys. & Electr. Inf. Sci., Ningxia Univ., Yinchuan, China
Abstract :
The objective of Flexible job shop scheduling problem (FJSP) with due-date window is to minimize the total E/T (earliness and tardiness) penalties for NP-hard problem. In this paper, an integrated optimal genetic algorithm is developed to optimize flexible scheduling objective of E/T with due-date window. In addition, mathematical model is established with respect to minimize E/T penalties, subjected to a set of practical restrained conditions. To testify optimization feasibility, the due-date window is sorted into common and discrete due-date window in the experiments. The proposed approach has been simulated on several benchmarks. Simulation results show that the hybrid algorithm proposed has satisfactory performance.
Keywords :
computational complexity; genetic algorithms; job shop scheduling; NP-hard problem; discrete due-date window; earliness penalties; flexible job shop scheduling; flexible scheduling objective; integrated optimal algorithm; integrated optimal genetic algorithm; mathematical model; optimization feasibility; practical restrained conditions; tardiness penalties; total E/T; Biological cells; Genetic algorithms; Job shop scheduling; Optimal scheduling; Processor scheduling; Due-date window; E/T penality cost; FJSP; Genetic algorithm; Simulated annealing algorithm;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6357957