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A Modified Giffler and Thompson Genetic Algorithm on the Job Shop Scheduling Problem
| Content Provider | Semantic Scholar |
|---|---|
| Author | Peng, Lee Hui Salim, Sutinah |
| Copyright Year | 2006 |
| Abstract | Job Shop Scheduling Problem (JSSP) is one of the well-known hardest combinatorial optimization problems. The goal of this research is to study an efficient scheduling method based on Genetic Algorithm (GA) to address JSSP. A GA based on Giffler and Thompson (GT) algorithm known as GT-GA that utilizes the GT crossover is investigated. This algorithm is modified to produce better results than the existing algorithm by using Visual Prolog programming language. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://eprints.utm.my/2458/1/Farhana2007_AModifiedGifflerAndThompson.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Combinatorial optimization Genetic algorithm JSSP Job Syndrome Job shop scheduling Logitech Driving Force GT Mathematical optimization Programming language Scheduling (computing) Scheduling - HL7 Publishing Domain Visual Prolog Whole Earth 'Lectronic Link |
| Content Type | Text |
| Resource Type | Article |