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| Content Provider | Springer Nature Link |
|---|---|
| Author | Duenas, Alejandra Petrovic, Dobrila |
| Copyright Year | 2008 |
| Abstract | This paper presents a new multi-objective approach to a single machine scheduling problem in the presence of uncertainty. The uncertain parameters under consideration are due dates of jobs. They are modelled by fuzzy sets where membership degrees represent decision maker’s satisfaction grade with respect to the jobs’ completion times. The two objectives defined are to minimise the maximum and the average tardiness of the jobs. Due to fuzziness in the due dates, the two objectives become fuzzy too. In order to find a job schedule that maximises the aggregated satisfaction grade of the objectives, a hybrid algorithm that combines a multi-objective genetic algorithm with local search is developed. The algorithm is applied to solve a real-life problem of a manufacturing pottery company. |
| Starting Page | 87 |
| Ending Page | 104 |
| Page Count | 18 |
| File Format | |
| ISSN | 15684539 |
| Journal | Fuzzy Optimization and Decision Making |
| Volume Number | 7 |
| Issue Number | 1 |
| e-ISSN | 15732908 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2008-02-22 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Single machine scheduling Fuzzy sets Multi-objective optimisation Genetic algorithms Local search Operations Research/Decision Theory Artificial Intelligence (incl. Robotics) Calculus of Variations and Optimal Control; Optimization Optimization Probability Theory and Stochastic Processes Mathematical Logic and Foundations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Logic Software |
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