Jeffrey O. Agushaka
Artificial Intelligence · 2022
A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it
- Computational Theory and Mathematics — 36 citations into it
- Computer Vision and Pattern Recognition — 22 citations into it
Whom Jeffrey O. Agushaka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bahriye Akay
- Seyedali Mirjalili
- Laith Mohammad Abualigah
- Bilal Alatas
- Dervis Karaboga
- James Kennedy
- Sankalap Arora
- Carlos Artemio Coello Coello
- Xin-She Yang
- John H. Holland
Papers from Jeffrey O. Agushaka's perspective
Ordered by how strongly the researchers Jeffrey O. Agushaka trusts endorse each paper. Same corpus, a different order for every researcher.
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Artificial Intelligence through Simulated Evolution
- Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition (IEEE Congress on Evolutionary Computation)
- Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
- New inspirations in swarm intelligence: a survey (International Journal of Bio-Inspired Computation (IJBIC))
- Optimization by Simulated Annealing
- A new optimizer using particle swarm theory
- GSA: A Gravitational Search Algorithm (Information Sciences)
- Salp swarm algorithm: a comprehensive survey (Neural computing & applications (Print))
Their papers
- Gazelle optimization algorithm: a novel nature-inspired metaheuristic optimizer (2022) — 422 citations
- Prairie Dog Optimization Algorithm (2022) — 517 citations
- A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects (2022) — 848 citations