Tung-Kuan Liu
Artificial Intelligence · 2004–2006
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it; #12,768 of 35,345 by trust here, #25,809 by citations
Whom Tung-Kuan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tung-Kuan Liu overall
Papers from Tung-Kuan Liu's perspective
Ordered by how strongly the researchers Tung-Kuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Design and Analysis of Experiments
- Genetic Algorithms in Search
- Genetic Algorithms + Data Structures = Evolution Programs
- Linear Programming and Network Flows
- A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
- A new evolutionary system for evolving artificial neural networks
- Genetic Algorithms in Search Optimization and Machine Learning
- An orthogonal genetic algorithm with quantization for global numerical optimization (IEEE Transactions on Evolutionary Computation)
- Evolving Optimal Neural Networks Using Genetic Algorithms with Occam's Razor
- Hybrid Taguchi-genetic algorithm for global numerical optimization (IEEE Transactions on Evolutionary Computation)
Their papers
- Hybrid Taguchi-genetic algorithm for global numerical optimization (2004) — 513 citations
- Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm (2006) — 312 citations