Cited by 114Advanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms ResearchOptimization and Mathematical Programming

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MOGOA algorithm for constrained and unconstrained multi-objective optimization problems

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Crossref · 10.1007/s10489-017-1074-1

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  • Combining Cuckoo Search with PSO has shown better results in closeness to optimal solution compared to PSO or GA individually.

    “Combining Cuckoo Search (CS) algorithm with PSO has shown better results in terms of closeness to optimal solution when compared to PSO or GA individually [71], [138].”

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Research works printed but not linked: 61

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Metadata

Authors
Tharwat, A., Houssein, E. H., Ahmed, M. M., Hassanien, A. E., & Gabel, T.
Affiliations
  • Suez Canal University (EG)
  • Scientific Research Group in Egypt (EG)
  • Cairo University (EG)
  • Frankfurt University of Applied Sciences (DE)
Corresponding author
Tharwat, Alaa
Venue
Applied Intelligence
Published
2017-11-04
Volume
48
Issue
8
Pages
2268-2283
ISSN
  • 0924-669X (ISSN-L)
  • 1573-7497
OpenAlex
W2766078257
Cited by
114
References
0
Citations by year
2026: 6 · 2025: 10 · 2024: 9 · 2023: 15 · 2022: 14 · 2021: 19 · 2020: 18 · 2019: 16 · 2018: 6 · 2017: 1
FWCI
8.42
Type
journal article
Language
en
Open access
closed
Locations
Applied Intelligence (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimization and Mathematical Programming
Keywords
grasshopper optimization algorithm, multi-objective optimization, constrained optimization, external archive, Pareto optimal solutions, social behavior, metaheuristic algorithms

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