Mai S. Mabrouk
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #30,517 of 35,345 by trust here, #13,544 by citations
- Computational Theory and Mathematics — 54 citations into it; #10,588 of 12,182 by trust here, #2,489 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Mai S. Mabrouk trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyedali Mirjalili
- Carlos Artemio Coello Coello
- Ali Kaveh
- Andrew Lewis
- Kashif Hussain
- John H. Holland
- Hamid Salimi
- James C. Spall
Who trusts Mai S. Mabrouk overall
Papers from Mai S. Mabrouk's perspective
Ordered by how strongly the researchers Mai S. Mabrouk trusts endorse each paper. Same corpus, a different order for every researcher.
- Swarm Intelligence: From Natural to Artificial Systems
- Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems (Applied Soft Computing)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Exploration and exploitation in evolutionary algorithms: A survey (CSUR)
- A novel heuristic optimization method: charged system search
- Grey Wolf Optimizer (Advances in Engineering Software)
- Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm (Swarm and Evolutionary Computation)
- Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology
- Improving the search performance of SHADE using linear population size reduction (IEEE Congress on Evolutionary Computation)
- A comprehensive survey: artificial bee colony (ABC) algorithm and applications (Artificial Intelligence Review)
Their papers
- Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems (2020) — 968 citations
- Henry gas solubility optimization: A novel physics-based algorithm (2019) — 923 citations
- Honey Badger Algorithm: New metaheuristic algorithm for solving optimization problems (2022) — 1,108 citations