دورية
Optimization Algorithm Study for Multiple-Constrained and Multiple-Objective Job-Shop Tool Dynamic Distribution
| العنوان: | Optimization Algorithm Study for Multiple-Constrained and Multiple-Objective Job-Shop Tool Dynamic Distribution |
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| المؤلفون: | Wang, Cui Yan, Du, Wei Sheng, Wang, Jun |
| المصدر: | Applied Mechanics and Materials; May 2014, Vol. 551 Issue: 1 p612-616, 5p |
| مستخلص: | It’s an NP problem for distributing tools for job-shop tasks when the schedules were formulated, and it belongs to multiple-constrained and multiple-objective problem. Based on adaptive weight approach, the restriction and multiple objective problems were solved. The optimization dynamic distribution model for this problem was established. Then heuristic and self-adaptive genetic algorithm was presented. In order to express the dynamic of the distribution result, Two-dimensional coding technology was adopted, a new coding rule combining dispatching rule was designed. The results show that hybrid self-adaptive genetic algorithm based on adaptive weight approach forms well for multiple-constrained and multiple-objective job-shop tool dynamic distribution. |
| قاعدة البيانات: | Supplemental Index |
Full Text Finder | تدمد: | 16609336 16627482 |
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| DOI: | 10.4028/www.scientific.net/AMM.551.612 |