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Single-Machine Total Completion Time Scheduling with Position-Based Deterioration and Multiple Rate-Modifying Activities
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 Title & Authors
Single-Machine Total Completion Time Scheduling with Position-Based Deterioration and Multiple Rate-Modifying Activities
Kim, Byung-Soo; Joo, Cheol-Min;
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 Abstract
In this paper, we study a single-machine scheduling problem with deteriorating processing time of jobs and multiple rate-modifying activities which reset deteriorated processing time to the original processing time. In this situation, the objective function is to minimize total completion time. First, we formulate an integer programming model. Since the model is difficult to solve as the size of real problem being very large, we design an improved genetic algorithm called adaptive genetic algorithm (AGA) with spontaneously adjusting crossover and mutation rate depending upon the status of current population. Finally, we conduct some computational experiments to evaluate the performance of AGA with the conventional GAs with various combinations of crossover and mutation rates.
 Keywords
Single-Machine Scheduling;Rate-Modifying Activity;Deterioration;Adaptive Genetic Algorithm;
 Language
English
 Cited by
1.
복구조정 활동과 복구조정 후 시간경과에 따라 퇴화하는 작업시간을 갖는 단일기계의 일정계획에 관한 연구,김병수;주철민;

경영과학, 2013. vol.30. 1, pp.15-24 crossref(new window)
1.
A Study on Single Machine Scheduling with a Rate-Modifying Activity and Time-Dependent Deterioration After the Activity, Korean Management Science Review, 2013, 30, 1, 15  crossref(new windwow)
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An Improved Genetic Algorithm for Single-Machine Inverse Scheduling Problem, Mathematical Problems in Engineering, 2014, 2014, 1563-5147, 1  crossref(new windwow)
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Machine scheduling of time-dependent deteriorating jobs with determining the optimal number of rate modifying activities and the position of the activities, Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2015, 9, 1, JAMDSM0007  crossref(new windwow)
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