Tansel Dökeroğlu

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 70 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 208 citations into it
• Computational Theory and Mathematics — 117 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Industrial and Manufacturing Engineering — 29 citations into it
• Biomedical Engineering — 28 citations into it
• Molecular Biology — 17 citations into it
• Management Science and Operations Research — 11 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Tansel Dökeroğlu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xin-She Yang
2. Seyedali Mirjalili
3. Amir H. Gandomi
4. Seyed Mohammad Mirjalili
5. Dervis Karaboga
6. R. Venkata Rao
7. Ali Kaveh
8. Majdi M. Mafarja
9. Bilal Alatas
10. Sankalap Arora

Who trusts Tansel Dökeroğlu overall

1. Absalom El-Shamir Ezugwu
2. Stephen Bassi Joseph
3. Jeffrey O. Agushaka
4. Emmanuel Gbenga Dada

Papers from Tansel Dökeroğlu's perspective

Ordered by how strongly the researchers Tansel Dökeroğlu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Genetic Algorithms in Search Optimization and Machine Learning
2. No free lunch theorems for optimization
3. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
4. A new optimizer using particle swarm theory
5. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
6. Genetic Algorithms in Search
7. A New Heuristic Optimization Algorithm: Harmony Search
8. Grey Wolf Optimizer (Advances in Engineering Software)
9. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (Journal of Global Optimization)
10. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization

Their papers

• A survey on new generation metaheuristic algorithms (2019) — 777 citations
• A comprehensive survey on recent metaheuristics for feature selection (2022) — 303 citations