第 1 到 9 筆結果,共 9 筆。
公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 | |
---|---|---|---|---|---|---|---|
1 | 2004 | Toward an understanding of the quality and efficiency of model building for genetic algorithms | TIAN-LI YU | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
2 | 2004 | Shape and view independent reflectance map from multiple views | TIAN-LI YU | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
3 | 2008 | Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems. | Li, Minqiang; Goldberg, David E.; Sastry, Kumara; Yu, Tian-Li; TIAN-LI YU | Linkage in Evolutionary Computation | |||
4 | 2008 | Real-coded ECGA for solving decomposable real-valued optimization problems | Li, M.; Goldberg, D.E.; Sastry, K.; Yu, T.-L.; TIAN-LI YU | Studies in Computational Intelligence | 7 | 0 | |
5 | 2007 | Population sizing to go: Online adaptation using noise and substructural measurements | TIAN-LI YU | Studies in Computational Intelligence | 5 | 0 | |
6 | 2003 | Optimal sampling and speed-up for genetic algorithms on the sampled OneMax problem | TIAN-LI YU | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
7 | 2007 | Military antenna design using a simple genetic algorithm and hBOA | TIAN-LI YU | Studies in Computational Intelligence | 6 | 0 | |
8 | 2003 | Genetic algorithm design inspired by organizational theory: Pilot study of a dependency structure matrix driven genetic algorithm | TIAN-LI YU | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | |||
9 | 2004 | Dependency structure matrix analysis: Offline utility of the dependency structure matrix genetic algorithm | TIAN-LI YU | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |