A new mathematical model for single machine scheduling with learning effect: continuous approach
| العنوان: | A new mathematical model for single machine scheduling with learning effect: continuous approach |
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| المؤلفون: | Ali Keyvandarian, Seyed Hossein Iranmanesh, Hassan Mina, Seyed Hojat Pakzad Moghadam |
| المصدر: | International Journal of Mathematics in Operational Research. 7:348 |
| بيانات النشر: | Inderscience Publishers, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Mathematical optimization, Single-machine scheduling, Genetic algorithm scheduling, Computer science, Modeling and Simulation, Two-level scheduling, Genetic algorithm, Crossover, General Decision Sciences, Dynamic priority scheduling, Learning effect, Scheduling (computing) |
| الوصف: | In the literature of scheduling, many studies have been devoted to schedule single machine activities. Despite numerous studies done to bridge the gap between the mathematical models and real-life scheduling problems, there is still gap remained to be covered. In this study, position-based, time-based and experience-based learning effect calculations are employed simultaneously in order to extend applicability of the proposed model. At first, the modified single machine scheduling problem is formulated as a mixed integer mathematical model with non-linear terms. Finally, a hybrid imperialistic competitive algorithm and genetic algorithm is designed to solve this complex problem. The hybrid ICA-GA algorithm is modified in order to take advantage of ICAs intelligence and GAs operators such as crossover and mutation simultaneously. |
| تدمد: | 1757-5869 1757-5850 |
| DOI: | 10.1504/ijmor.2015.069153 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::98b208a25aaf4d5c9fbbe48f30a3a929 https://doi.org/10.1504/ijmor.2015.069153 |
| رقم الانضمام: | edsair.doi...........98b208a25aaf4d5c9fbbe48f30a3a929 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 17575869 17575850 |
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| DOI: | 10.1504/ijmor.2015.069153 |