Follow
Shih-Hsin Chen
Shih-Hsin Chen
Department of Computer Science and Information Engineering, Tamkang University
Verified email at mail.tku.edu.tw - Homepage
Title
Cited by
Cited by
Year
Two‐phase sub population genetic algorithm for parallel machine-scheduling problem
PC Chang, SH Chen, KL Lin
Expert Systems with Applications 29 (3), 705-712, 2005
1372005
A hybrid electromagnetism-like algorithm for single machine scheduling problem
PC Chang, SH Chen, CY Fan
Expert Systems with Applications 36 (2), 1259-1267, 2009
1222009
Blockchain based smart contract for bidding system
YH Chen, SH Chen, IC Lin
2018 IEEE International Conference on Applied System Invention (ICASI), 208-211, 2018
1172018
Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems
PC Chang, SH Chen, CH Liu
Expert systems with applications 33 (3), 762-771, 2007
1142007
MOEA/D for flowshop scheduling problems
PC Chang, SH Chen, Q Zhang, JL Lin
2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008
1042008
A self-guided genetic algorithm for permutation flowshop scheduling problems
SH Chen, PC Chang, TCE Cheng, Q Zhang
Computers & operations research 39 (7), 1450-1457, 2012
912012
Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times
PC Chang, SH Chen
Applied Soft Computing 11 (1), 1263-1274, 2011
902011
The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems
PC Chang, SH Chen
Applied Soft Computing 9 (1), 173-181, 2009
712009
Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems
PC Chang, SH Chen, CY Fan, CL Chan
Applied Mathematics and Computation 205 (2), 550-561, 2008
682008
Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems
PC Chang, SS Chen, CY Fan
Applied Soft Computing 8 (1), 767-777, 2008
612008
Guidelines for developing effective estimation of distribution algorithms in solving single machine scheduling problems
SH Chen, MC Chen, PC Chang, Q Zhang, YM Chen
Expert Systems with Applications 37 (9), 6441-6451, 2010
552010
Extended artificial chromosomes genetic algorithm for permutation flowshop scheduling problems
YM Chen, MC Chen, PC Chang, SH Chen
Computers & Industrial Engineering 62 (2), 536-545, 2012
542012
A note on due-date assignment and single machine scheduling with a learning/aging effect
PC Chang, SH Chen, V Mani
International Journal of Production Economics 117 (1), 142-149, 2009
472009
A hybrid genetic algorithm with dominance properties for single machine scheduling with dependent penalties
PC Chang, SH Chen, V Mani
Applied Mathematical Modelling 33 (1), 579-596, 2009
392009
A content-based image retrieval method based on the google cloud vision api and wordnet
SH Chen, YH Chen
Intelligent Information and Database Systems: 9th Asian Conference, ACIIDS …, 2017
352017
Addressing the advantages of using ensemble probabilistic models in estimation of distribution algorithms for scheduling problems
SH Chen, MC Chen
International Journal of Production Economics 141 (1), 24-33, 2013
352013
Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems
PC Chang, SH Chen, CY Fan, V Mani
Annals of Operations Research 180, 197-211, 2010
262010
A global archive sub-population genetic algorithm with adaptive strategy in multi-objective parallel-machine scheduling problem
PC Chang, SH Chen, JC Hsieh
International Conference on Natural Computation, 730-739, 2006
232006
Imperial competitive algorithm with policy learning for the traveling salesman problem
MH Chen, SH Chen, PC Chang
Soft Computing 21, 1863-1875, 2017
222017
Operators of the two-part encoding genetic algorithm in solving the multiple traveling salesmen problem
SH Chen, MC Chen
2011 International Conference on Technologies and Applications of Artificial …, 2011
222011
The system can't perform the operation now. Try again later.
Articles 1–20