Two-Agent Scheduling to Minimize the Maximum Cost with Position-Dependent Jobs

المؤلف

Wan, Long

المصدر

Discrete Dynamics in Nature and Society

العدد

المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-4، 4ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2015-04-12

دولة النشر

مصر

عدد الصفحات

4

التخصصات الرئيسية

الرياضيات

الملخص EN

This paper investigates a single-machine two-agent scheduling problem to minimize the maximum costs with position-dependent jobs.

There are two agents, each with a set of independent jobs, competing to perform their jobs on a common machine.

In our scheduling setting, the actual position-dependent processing time of one job is characterized by variable function dependent on the position of the job in the sequence.

Each agent wants to fulfil the objective of minimizing the maximum cost of its own jobs.

We develop a feasible method to achieve all the Pareto optimal points in polynomial time.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Wan, Long. 2015. Two-Agent Scheduling to Minimize the Maximum Cost with Position-Dependent Jobs. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-4.
https://search.emarefa.net/detail/BIM-1060822

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Wan, Long. Two-Agent Scheduling to Minimize the Maximum Cost with Position-Dependent Jobs. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-4.
https://search.emarefa.net/detail/BIM-1060822

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Wan, Long. Two-Agent Scheduling to Minimize the Maximum Cost with Position-Dependent Jobs. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-4.
https://search.emarefa.net/detail/BIM-1060822

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1060822