Esther Villar-Rodriguez

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computational Theory and Mathematics — 25 citations into it

Whom Esther Villar-Rodriguez trusts overall

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

1. Yaochu Jin
2. Marco Dorigo
3. David E. Goldberg
4. Abhishek Gupta
5. Kenneth A. De Jong
6. James Kennedy
7. Xin-She Yang
8. Dervis Karaboga
9. Fred W. Glover
10. Enrique Alba

Papers from Esther Villar-Rodriguez's perspective

Ordered by how strongly the researchers Esther Villar-Rodriguez trusts endorse each paper. Same corpus, a different order for every researcher.

1. Genetic Algorithms in Search Optimization and Machine Learning
2. Genetic Algorithms in Search
3. ImageNet classification with deep convolutional neural networks
4. Tabu Search
5. ParamILS: An Automatic Algorithm Configuration Framework
6. A comprehensive survey of fitness approximation in evolutionary computation (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
7. Evolutionary optimization in uncertain environments-a survey (IEEE Transactions on Evolutionary Computation)
8. Metaheuristics in combinatorial optimization: Overview and conceptual comparison (CSUR)
9. Surrogate-assisted evolutionary computation: Recent advances and future challenges
10. Optimization by Simulated Annealing

Their papers

• A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems (2021) — 357 citations