Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/20870
Title: | Solving the Multi-Robot Task Allocation Problem using Firefly, Artificial Bee Colony and Quantum Genetic Algorithms |
Authors: | Zitouni, Farouq Harous, Saad Maamri, Ramdane |
Keywords: | Multi-Robot System Task Allocation Firefly Algorithm Artificial Bee Colony Optimization Quantum Genetic Algorithms |
Issue Date: | 5-Mar-2019 |
Publisher: | Université Kasdi Merbah Ouargla |
Series/Report no.: | 2019; |
Abstract: | The Multi-Robot Task Allocation problem of is the situation where we have a set of tasks and a number of robots, and each task have to be assigned to the appropriate robots that optimize some criteria, e.g. allocate the maximum number of tasks. We present an effective solution to address this problem. It implements a two-stage methodology: first, a global allocation using firefly algorithm, then a local allocation combining artificial bee colony optimization and quantum genetic algorithms. Experimental results show the effectiveness of the proposed solution in terms of the number of allocated tasks and the allocation time. |
Description: | Le 2eme Conference Internationale sur intelligence Artificielle et les Technologies Information ICAIIT 2019 |
URI: | http://dspace.univ-ouargla.dz/jspui/handle/123456789/20870 |
Appears in Collections: | 2. Faculté des nouvelles technologies de l’information et de la communication |
Files in This Item:
File | Description | Size | Format | |
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Farouq Zitouni.pdf | 827,59 kB | Adobe PDF | View/Open |
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