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A comprehensive study of cuckoo-inspired algorithms
Faculty
Computer Science
Year:
2018
Type of Publication:
ZU Hosted
Pages:
Authors:
Laila Abdel Fattah Shawqi Ibrahim
Staff Zu Site
Abstract In Staff Site
Journal:
Neural Computing and Applications Springer
Volume:
Keywords :
, comprehensive study , cuckoo-inspired algorithms
Abstract:
Nature-inspired metaheuristic algorithms are considered as the most effective techniques for solving various optimization problems. This paper provides a briefly review of the key features of the cuckoo-inspired metaheuristics: cuckoo searc
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Laila Abdel Fattah Shawqi Ibrahim, "Elite opposition-flower pollination algorithm for quadratic assignment problem", IOS press, 2017
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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, "An improved nature inspired meta-heuristic algorithm for 1-D bin packing problems", Springer, 2018
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Laila Abdel Fattah Shawqi Ibrahim, "Grid quorum‐based spatial coverage in mobile wireless sensor networks using nature‐inspired firefly algorithm", John Wiley & Sons, 2019
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Department Related Publications
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "GIS software selection: a multi-criteria decision making approach", Monash University ePress., 2007
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Soaad Mohamed Nagieb, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "Exploring multi-criteria decision strategies in GIS with linguistic quantifiers: an extension of the analytical network process using ordered weighted averaging operators", Taylor and Francis Ltd., 2013
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Mai Mohamed Abass Morsy Shomaan, "e-Business Web Portals Evaluation", Alex, Egypt, 2009
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