Ahmed A. Ewees
Artificial Intelligence · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Computational Theory and Mathematics — 71 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Industrial and Manufacturing Engineering — 6 citations into it
Whom Ahmed A. Ewees trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Seyedali Mirjalili
- Xin-She Yang
- Amir H. Gandomi
- Carlos Artemio Coello Coello
- David E. Goldberg
- Ali Kaveh
- Dervis Karaboga
- Isabelle M Guyon
- Laith Mohammad Abualigah
- Manoranjan Dash
Who trusts Ahmed A. Ewees overall
Papers from Ahmed A. Ewees's perspective
Ordered by how strongly the researchers Ahmed A. Ewees trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms in Search Optimization and Machine Learning
- Flower Pollination Algorithm for Global Optimization (International Conference on Unconventional Computation and Natural Computation)
- A new optimizer using particle swarm theory
- Dimensionality reduction using genetic algorithms (IEEE Transactions on Evolutionary Computation)
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- An improved particle swarm optimization for feature selection (Intelligent Data Analysis)
- Gene Selection for Cancer Classification using Support Vector Machines
- No free lunch theorems for optimization
- Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization
- Consistency-based search in feature selection
Their papers
- Aquila Optimizer: A novel meta-heuristic optimization algorithm (2021) — 1,956 citations
- Optimization Method for Forecasting Confirmed Cases of COVID-19 in China (2020) — 366 citations
- Improved salp swarm algorithm based on particle swarm optimization for feature selection (2018) — 323 citations
- Improved grasshopper optimization algorithm using opposition-based learning (2018) — 321 citations