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A Parallel Computing Approach to Solve the Two-Level Synchronized and Integrated Lot sizing and Scheduling Problem
| Content Provider | Semantic Scholar |
|---|---|
| Author | Toledo, Claudio Fabiano Motta |
| Copyright Year | 2008 |
| Abstract | This paper describes the use of parallel computing as an approach to solve the Synchronized and Integrated Lot sizing and Scheduling Problem (SITLSP). The multi-population genetic algorithm previously proposed to solve the SITLSP is adapted to be executed in parallel using a workstation with four processors. Three processors are responsible to evolve separately each population and a fourth processor managers the migration and restart operations among these populations. Thus, the parallel approach allows evolving simultaneously the populations of the genetic algorithm. Computational results are reported using industrial instances already available for the SITLSP and other complex instances proposed here. The parallel approach results are compared with those returned by the sequential multi-population genetic algorithm. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.din.uem.br/sbpo/sbpo2008/pdf/arq0179.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
