|
English
|
正體中文
|
简体中文
|
Total items :2815992
|
|
Visitors :
27532470
Online Users :
622
Project Commissioned by the Ministry of Education Project Executed by National Taiwan University Library
|
|
|
Taiwan Academic Institutional Repository >
Browse by Author
|
"kuo r j"
Showing items 51-60 of 135 (14 Page(s) Totally) << < 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
國立臺灣科技大學 |
2016 |
Application of a fuzzy ant colony system to solve the dynamic vehicle routing problem with uncertain service time
|
Kuo, R.J;Wibowo, B.S;Zulvia, F.E. |
國立臺灣科技大學 |
2016 |
Cluster analysis using a gradient evolution-based k-means algorithm
|
Kuo, R.J;Zulvia, F.E. |
國立臺灣科技大學 |
2016 |
Erratum: The gradient evolution algorithm: A new metaheuristics (Information Sciences (2015) 316 (246-265))
|
Kuo, R.J;Zulvia, F.E. |
國立臺灣科技大學 |
2015 |
The gradient evolution algorithm: A new metaheuristic
|
Kuo, R.J.;Zulvia, F.E. |
國立臺灣科技大學 |
2015 |
The integration of association rule mining and artificial immune network for supplier selection and order quantity allocation
|
Kuo, R.J.;Pai, C.M.;Lin, R.H.;Chu, H.C. |
國立臺灣科技大學 |
2015 |
Intelligent RFID positioning system through immune-based feed-forward neural network
|
Kuo, R.J.;Chang, J.W. |
國立臺灣科技大學 |
2015 |
Application of a two-stage fuzzy neural network to a prostate cancer prognosis system
|
Kuo, R.-J.;Huang, M.-H.;Cheng, W.-C.;Lin, C.-C.;Wu, Y.-H. |
國立臺灣科技大學 |
2015 |
Non-dominated sorting genetic algorithm using fuzzy membership chromosome for categorical data clustering
|
Yang, C.-L.;Kuo, R.J.;Chien, C.-H.;Quyen, N.T.P. |
國立臺灣科技大學 |
2015 |
Solving bi-level linear programming problem through hybrid of immune genetic algorithm and particle swarm optimization algorithm
|
Kuo, R.J.;Lee, Y.H.;Zulvia, F.E.;Tien, F.C. |
國立臺灣科技大學 |
2015 |
Integration of Particle Swarm Optimization and Immune Genetic Algorithm-Based Dynamic Clustering for Customer Clustering
|
Kuo, R.J.;Lin, S.H.;Chen, Z.-Y. |
Showing items 51-60 of 135 (14 Page(s) Totally) << < 1 2 3 4 5 6 7 8 9 10 > >> View [10|25|50] records per page
|