Diego Oliva
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #21,796 of 35,345 by trust here, #14,718 by citations
- Renewable Energy, Sustainability and the Environment — 32 citations into it; #2,237 of 5,212 by trust here, #3,058 by citations
- Electrical and Electronic Engineering — 29 citations into it; #7,657 of 16,539 by trust here, #7,770 by citations
- Computational Theory and Mathematics — 10 citations into it
Whom Diego Oliva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dervis Karaboga
- Bahriye Basturk
- Seyedali Mirjalili
- Bahriye Akay
- Mohamad F. AlHajri
- Alireza Askarzadeh
- David E. Goldberg
Who trusts Diego Oliva overall
Papers from Diego Oliva's perspective
Ordered by how strongly the researchers Diego Oliva trusts endorse each paper. Same corpus, a different order for every researcher.
- AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
- On the performance of artificial bee colony (ABC) algorithm (Applied Soft Computing)
- A comparative study of Artificial Bee Colony algorithm (Applied Mathematics and Computation)
- Dimensionality reduction using genetic algorithms (IEEE Transactions on Evolutionary Computation)
- Grey Wolf Optimizer (Advances in Engineering Software)
- Gene Selection for Cancer Classification using Support Vector Machines
- Consistency-based search in feature selection
- An introduction to variable and feature selection
- A discrete particle swarm optimization method for feature selection in binary classification problems (European Journal of Operational Research)
- Data Mining: Concepts and Techniques
Their papers
- Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm (2017) — 566 citations
- Parameter identification of solar cells using artificial bee colony optimization (2014) — 439 citations
- Improved salp swarm algorithm based on particle swarm optimization for feature selection (2018) — 323 citations