L. D. Whitley
Evolutionary Computation · 1992–2015
A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Evolutionary Computation — 6 citations into it
Whom L. D. Whitley trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David E. Goldberg
- Geoffrey E. Hinton
- John H. Holland
- David H. Ackley
- Stefano Nolfi
- Stephen F. Smith
- Wolfgang Banzhaf
- Hiroaki Kitano
- John R. Koza
Who trusts L. D. Whitley overall
- Phil McMinn
- Shimon Whiteson
- Kenneth O. Stanley
- Risto Miikkulainen
- C. M. Andersen
- J. Urgen Schmidhuber
- Shifei Ding
- J. Morales
- Christian Igel
- Peter Stone
Papers from L. D. Whitley's perspective
Ordered by how strongly the researchers L. D. Whitley trusts endorse each paper. Same corpus, a different order for every researcher.
- A Learning Algorithm for Boltzmann Machines
- Learning and Evolution in Neural Networks
- Artificial Intelligence through Simulated Evolution
- Designing Neural Networks Using Genetic Algorithms with Graph Generation System
- Combinations of genetic algorithms and neural networks: a survey of the state of the art
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- The Island Model Genetic Algorithm: On Separability, Population Size and Convergence (2015) — 344 citations
- An overview of evolutionary algorithms: practical issues and common pitfalls (2001) — 483 citations
- The No Free Lunch and problem description length (2001) — 177 citations
- A comparison between cellular encoding and direct encoding for genetic neural networks (1996)
- Adding Learning to the Cellular Development of Neural Networks: Evolution and the Baldwin Effect (1993)
- Combinations of genetic algorithms and neural networks: a survey of the state of the art (1992)