A Comparative Study between Optimization and Market-Based Approaches to Multi-Robot Task Allocation

المؤلفون المشاركون

Hussein, Ahmed
Khamis, Alaa M.
Badreldin, Mohamed

المصدر

Advances in Artificial Intelligence

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-11-12

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب
علوم

الملخص EN

This paper presents a comparative study between optimization-based and market-based approaches used for solving the Multirobot task allocation (MRTA) problem that arises in the context of multirobot systems (MRS).

The two proposed approaches are used to find the optimal allocation of a number of heterogeneous robots to a number of heterogeneous tasks.

The two approaches were extensively tested over a number of test scenarios in order to test their capability of handling complex heavily constrained MRS applications that include extended number of tasks and robots.

Finally, a comparative study is implemented between the two approaches and the results show that the optimization-based approach outperforms the market-based approach in terms of optimal allocation and computational time.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Badreldin, Mohamed& Hussein, Ahmed& Khamis, Alaa M.. 2013. A Comparative Study between Optimization and Market-Based Approaches to Multi-Robot Task Allocation. Advances in Artificial Intelligence،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-457876

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Badreldin, Mohamed…[et al.]. A Comparative Study between Optimization and Market-Based Approaches to Multi-Robot Task Allocation. Advances in Artificial Intelligence No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-457876

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Badreldin, Mohamed& Hussein, Ahmed& Khamis, Alaa M.. A Comparative Study between Optimization and Market-Based Approaches to Multi-Robot Task Allocation. Advances in Artificial Intelligence. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-457876

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-457876