Mohamed Abdel-Basset
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 9 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 182 citations into it
- Computational Theory and Mathematics — 131 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
- Management Science and Operations Research — 21 citations into it
- Biomedical Engineering — 17 citations into it
- Control and Systems Engineering — 12 citations into it
Whom Mohamed Abdel-Basset trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Kaveh
- Xin-She Yang
- Seyedali Mirjalili
- Florentin Smarandache
- Amir H. Gandomi
- Wei‐Wen Wu
- Dawid Połap
- Carlos Artemio Coello Coello
- Doraid M. Dalalah
- Benyamin Abdollahzadeh
Who trusts Mohamed Abdel-Basset overall
Papers from Mohamed Abdel-Basset's perspective
Ordered by how strongly the researchers Mohamed Abdel-Basset trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- A new optimizer using particle swarm theory
- No free lunch theorems for optimization
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization
- A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms (Swarm and Evolutionary Computation)
- Red fox optimization algorithm (Expert systems with applications)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- A New Heuristic Optimization Algorithm: Harmony Search
- Single Valued Neutrosophic Sets
Their papers
- Metaheuristic Algorithms: A Comprehensive Review (2018) — 478 citations
- Nutcracker optimizer: A novel nature-inspired metaheuristic algorithm for global optimization and engineering design problems (2023) — 384 citations
- Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler's laws of planetary motion (2023) — 516 citations
- Spider wasp optimizer: a novel meta-heuristic optimization algorithm (2023) — 340 citations
- Crested Porcupine Optimizer: A new nature-inspired metaheuristic (2023) — 515 citations
- A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection (2020) — 304 citations
- An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number (2019) — 355 citations
- Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems (2018) — 400 citations
- A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria (2018) — 329 citations