Title :
Research on Multi-colony Diploid Genetic Algorithm for Production Logistics Scheduling Optimization
Author :
Liu, Beilin ; Ma, Li
Author_Institution :
Sch. of Manage., Harbin Univ. of Commerce, Harbin, China
Abstract :
In this paper, we present a Multi-Colony Diploid Genetic Algorithm (MCDGA) for Flexible Job-Scheduling Problem (FJSP), a simulation model is presented to solve the FJSP. The proposed model has been coded by Matlab which is a special mathematical computation language. After modeling the pending problem, the model is validated by a representative instances based on practical data. The result obtained from the computational study has shown that the proposed approach is a feasible and effective approach for the FJSP.
Keywords :
flexible manufacturing systems; genetic algorithms; job shop scheduling; logistics; mathematics computing; FJSP; MCDGA; Matlab; flexible job scheduling problem; mathematical computation language; multicolony diploid genetic algorithm; optimization; production logistics scheduling; Modified Adaptive Genetic Algorithm; Production logistics; scheduling optimization;
Conference_Titel :
Web Information Systems and Mining (WISM), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8438-6
DOI :
10.1109/WISM.2010.178
