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Elite opposition-flower pollination algorithm for quadratic assignment problem
Faculty
Computer Science
Year:
2017
Type of Publication:
ZU Hosted
Pages:
Authors:
Laila Abdel Fattah Shawqi Ibrahim
Staff Zu Site
Abstract In Staff Site
Journal:
Journal of Intelligent & Fuzzy Systems IOS press
Volume:
Keywords :
Elite opposition-flower pollination algorithm , quadratic assignment
Abstract:
The quadratic assignment problem (QAP) is one of the most studied combinatorial optimization problems with various practical applications. In This paper, we present an Elite Opposition-Flower Pollination Algorithm (EOFPA) for solving Quadra
Author Related Publications
Laila Abdel Fattah Shawqi Ibrahim, "A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems", emerald insight, 2017
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Laila Abdel Fattah Shawqi Ibrahim, "Metaheuristic Algorithms: A Comprehensive Review", Elsevier, 2018
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Laila Abdel Fattah Shawqi Ibrahim, "A comprehensive study of cuckoo-inspired algorithms", Springer, 2018
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Laila Abdel Fattah Shawqi Ibrahim, "An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems", Springer, 2018
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Department Related Publications
Ahmed Salah Mohamed Mostafa, "Lazy-Merge: A Novel Implementation for Indexed Parallel K-Way In-Place Merging", IEEE, 2016
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Ibrahiem Mahmoud Mohamed Elhenawy, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016
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Mohammed Abdel Basset Metwally Attia, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016
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Mohammed Abdel Basset Metwally Attia, "A Review on the Applications of Neutrosophic Sets", Source: Journal of Computational and Theoretical Nanoscience, Volume 13, Number 1, January 2016, pp. 936-944(9), 2016
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Mohammed Abdel Basset Metwally Attia, "A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems", emerald insight, 2017
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