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http://hdl.handle.net/2080/691
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| Title: | Optimization of Flowshop Scheduling with Fuzzy Due Dates Using a Hybrid Evolutionary Algorithm |
| Authors: | Kiran Kumar, M S N
Biswal, B B
Mahapatra, S S
Jena, N |
| Keywords: | Heruistics
flow shop scheduling
Fuzzy Due Dates
Metaheuristics
Particle swarm optimization
Production Scheduling |
| Issue Date: | 2007 |
| Publisher: | Proceedings of the International Conference on |
| Citation: | Modeling and Simulation Coimbatore, 27-29 August 2007 |
| Abstract: | The concept of global work-place in the recent past has been the major driving factor to remain
competitive by using the appropriate techniques in various aspects of manufacturing activities. Genetic
Algorithm (GA) has proven to be a useful method of optimization for the combinatorial optimization
problems. Particle Swarm Optimization (PSO), a new method of optimization, is able to accomplish the
same goal as GA optimization in a faster way. The purpose of the present work is to investigate
performance of the two algorithms when applied to flowshop scheduling with fuzzy due dates. An attempt
has been made to hybridize the two algorithms in series. It is established that the hybrid algorithm (PSOGA)
produces better results on problems of larger size when compared to the individual performance of
the algorithms. |
| Description: | Copyright for the paper belongs to Proceedings Publisher |
| URI: | http://hdl.handle.net/2080/691 |
| Appears in Collections: | Conference Papers
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Size | Format |
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| BBB-2007-coim-conf.pdf | | 91Kb | Adobe PDF | View/Open |
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