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Flower pollination algorithm: a comprehensive review
Faculty
Computer Science
Year:
2019
Type of Publication:
ZU Hosted
Pages:
155 - 178
Authors:
Laila Abdel Fattah Shawqi Ibrahim
Staff Zu Site
Abstract In Staff Site
Journal:
المجلة العربية للآداب والدراسات الإنسانية Springer
Volume:
Keywords :
Flower pollination algorithm: , comprehensive review
Abstract:
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its metaphor from flowers proliferation role in plants. This paper provides a comprehensive review of all issues related to FPA: biological inspiration, fundamentals, previous studies and comparisons, implementation, variants, hybrids, and applications. Besides, it makes a comparison between FPA and six different metaheuristics such as genetic algorithm, cuckoo search, grasshopper optimization algorithm, and others on solving a constrained engineering optimization problem . The experimental results are statistically analyzed with non-parametric Friedman test which indicates that FPA is superior more than other competitors in solving the given problem.
Author Related Publications
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, "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
Saber Mohamed, "Online Generation of Trajectories for Autonomous Vehicles using a Multi-Agent System", IEEE, 2014
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Saber Mohamed, "Parameters Adaptation in Differential Evolution", IEEE, 2012
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Eman samir hasan sayed, "Using Hybrid Dependency Identification with a Memetic Algorithm for Large Scale Optimization Problems", Springer Berlin Heidelberg, 2012
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Eman samir hasan sayed, "A Decomposition-based Algorithm for Dynamic Economic Dispatch Problems", IEEE, 2014
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Eman samir hasan sayed, "Decomposition-based evolutionary algorithm for large scale constrained problems", Elsevier Inc, 2014
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