Low Carbon Scheduling with Iterative Ant Colony Algorithm
| Autor: | Liang Peng, Luo Mingqiang, Wen-Si Chen, Chen Shuqin |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Mathematical optimization General Computer Science Job shop scheduling Optimization algorithm Computer science Ant colony optimization algorithms Tardiness Computer Science::Neural and Evolutionary Computation 02 engineering and technology Energy consumption Scheduling (computing) Taguchi methods 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing |
| Zdroj: | International Journal of Smart Home. 10:19-26 |
| ISSN: | 1975-4094 |
| DOI: | 10.14257/ijsh.2016.10.5.03 |
| Popis: | This research considers a low carbon scheduling problem in unrelated parallel machines. To solve this problem, we first establish a low carbon scheduling mathematical model. Then an iterative ant optimization algorithm is presented. Furthermore, parameters of proposed iterative ant optimization algorithm are selected by Taguchi methods on generating test dataset. Finally, comparative experiments indicate the proposed iterative ant optimization algorithm has better performance on minimizing energy consumption as well as total tardiness. |
| Databáze: | OpenAIRE |
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