Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling
Апстракт
Development of reliable and efficient material transport system is one of the basic requirements for creating an intelligent manufacturing environment. Nowadays, intelligent mobile robots have been widely used as one of the components to satisfy this requirement. In this paper, a methodology based on Grey Wolf Optimization (GWO) algorithm is proposed in order to find the optimal solution of the nondeterministic polynomial-hard (NP-hard) single mobile robot scheduling problem. The performance criterion is to minimize total transportation time of the mobile robot while it performs internal transport of raw materials, goods, and parts in manufacturing system. The scheduling plans are obtained in Matlab environment and tested by Khepera II mobile robot system within a static laboratory model of manufacturing environment. Experimental results show
the applicability and effectiveness of the developed intelligent approach in real world conditions.
Кључне речи:
intelligent manufacturing system / scheduling / grey wolf optimization algorithm / optimization / mobile robotИзвор:
Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08, 2017, ROI1.2, 1-6Издавач:
- Belgrade : ETRAN Society
Финансирање / пројекти:
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Petrović, Milica AU - Miljković, Zoran PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4415 AB - Development of reliable and efficient material transport system is one of the basic requirements for creating an intelligent manufacturing environment. Nowadays, intelligent mobile robots have been widely used as one of the components to satisfy this requirement. In this paper, a methodology based on Grey Wolf Optimization (GWO) algorithm is proposed in order to find the optimal solution of the nondeterministic polynomial-hard (NP-hard) single mobile robot scheduling problem. The performance criterion is to minimize total transportation time of the mobile robot while it performs internal transport of raw materials, goods, and parts in manufacturing system. The scheduling plans are obtained in Matlab environment and tested by Khepera II mobile robot system within a static laboratory model of manufacturing environment. Experimental results show the applicability and effectiveness of the developed intelligent approach in real world conditions. PB - Belgrade : ETRAN Society C3 - Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08 T1 - Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling EP - 6 IS - ROI1.2 SP - 1 UR - https://hdl.handle.net/21.15107/rcub_machinery_4415 ER -
@conference{ author = "Petrović, Milica and Miljković, Zoran", year = "2017", abstract = "Development of reliable and efficient material transport system is one of the basic requirements for creating an intelligent manufacturing environment. Nowadays, intelligent mobile robots have been widely used as one of the components to satisfy this requirement. In this paper, a methodology based on Grey Wolf Optimization (GWO) algorithm is proposed in order to find the optimal solution of the nondeterministic polynomial-hard (NP-hard) single mobile robot scheduling problem. The performance criterion is to minimize total transportation time of the mobile robot while it performs internal transport of raw materials, goods, and parts in manufacturing system. The scheduling plans are obtained in Matlab environment and tested by Khepera II mobile robot system within a static laboratory model of manufacturing environment. Experimental results show the applicability and effectiveness of the developed intelligent approach in real world conditions.", publisher = "Belgrade : ETRAN Society", journal = "Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08", title = "Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling", pages = "6-1", number = "ROI1.2", url = "https://hdl.handle.net/21.15107/rcub_machinery_4415" }
Petrović, M.,& Miljković, Z.. (2017). Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling. in Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08 Belgrade : ETRAN Society.(ROI1.2), 1-6. https://hdl.handle.net/21.15107/rcub_machinery_4415
Petrović M, Miljković Z. Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling. in Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08. 2017;(ROI1.2):1-6. https://hdl.handle.net/21.15107/rcub_machinery_4415 .
Petrović, Milica, Miljković, Zoran, "Grey Wolf Optimization Algorithm for Single Mobile Robot Scheduling" in Proceedings of the 4th International Conference on Electrical, Electronics and Computing Engineering (IcETRAN 2017), Kladovo, Serbia, June 05-08, no. ROI1.2 (2017):1-6, https://hdl.handle.net/21.15107/rcub_machinery_4415 .