Performance analysis of clustering methods for balanced multi-robot task allocations-Reference-Cited by-同舟云学术

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Performance analysis of clustering methods for balanced multi-robot task allocations

Published:2021-08-02 Issue: Volume: Page:1-16
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Murugappan Elango¹,Subramanian Nachiappan²^ORCID,Rahman Shams³,Goh Mark³,Chan Hing Kai⁴

Affiliation:

1. Thiagarajar College of Engineering, Madurai, India

2. School of Business Management and Economics, University of Sussex, Brighton, UK

3. School of Business IT and Logistics, RMIT University, Melbourne, Australia

4. Nottingham University Business School China, University of Nottingham Ningbo China, Ningbo, People’s Republic of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1955994

Reference47 articles.

1. A hard clustering approach to the part family formation problem

2. A hierarchical ant based clustering algorithm and its use in three real-world applications

3. Using clustering analysis in a capacitated location-routing problem

4. The multiple traveling salesman problem: an overview of formulations and solution procedures

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2. An efficient two-stage evolutionary algorithm for multi-robot task allocation in nuclear accident rescue scenario;Applied Soft Computing;2024-02

3. Task allocation for optimal system cost using hierarchical clustering in distributed system;AIP Conference Proceedings;2024

4. Behavior Mining of Robot-Animal Mixed Swarm;Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence;2023-12-08

5. Capacitated Multi-Robot Task Allocation with Time Windows Using Location-Routing Task-Motion Planning;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05

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