Shih-Hsi Liu
Shih-Hsi Liu
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Exploration and exploitation in evolutionary algorithms: A survey
M Črepinšek, SH Liu, M Mernik
ACM computing surveys (CSUR) 45 (3), 1-33, 2013
A note on teaching–learning-based optimization algorithm
M Črepinšek, SH Liu, L Mernik
Information Sciences 212, 79-93, 2012
On clarifying misconceptions when comparing variants of the artificial bee colony algorithm by offering a new implementation
M Mernik, SH Liu, D Karaboga, M Črepinšek
Information sciences 291, 115-127, 2015
Replication and comparison of computational experiments in applied evolutionary computing: common pitfalls and guidelines to avoid them
M Črepinšek, SH Liu, M Mernik
Applied Soft Computing 19, 161-170, 2014
A parameter control method of evolutionary algorithms using exploration and exploitation measures with a practical application for fitting Sovova's mass transfer model
SH Liu, M Mernik, D Hrnčič, M Črepinšek
Applied Soft Computing 13 (9), 3792-3805, 2013
Analysis of exploration and exploitation in evolutionary algorithms by ancestry trees
M Črepinšek, M Mernik, SHL Liu
International Journal of Innovative Computing and Applications 3 (1), 11-19, 2011
Is a comparison of results meaningful from the inexact replications of computational experiments?
M Črepinšek, SH Liu, L Mernik, M Mernik
Soft Computing 20, 223-235, 2016
To explore or to exploit: An entropy-driven approach for evolutionary algorithms
SH Liu, M Mernik, BR Bryant
International journal of knowledge-based and intelligent engineering systems …, 2009
A novel direct measure of exploration and exploitation based on attraction basins
J Jerebic, M Mernik, SH Liu, M Ravber, M Baketarić, L Mernik, ...
Expert Systems with Applications 167, 114353, 2021
Mobile Internet of Things (MIoT) and its applications for smart environments: A positional overview
A Alnahdi, SH Liu
2017 IEEE International Congress on Internet of Things (ICIOT), 151-154, 2017
Maximum number of generations as a stopping criterion considered harmful
M Ravber, SH Liu, M Mernik, M Črepinšek
Applied Soft Computing 128, 109478, 2022
Long term memory assistance for evolutionary algorithms
M Črepinšek, SH Liu, M Mernik, M Ravber
Mathematics 7 (11), 1129, 2019
On the importance of the artificial bee colony control parameter ‘Limit’
N Veček, SH Liu, M Črepinšek, M Mernik
Information Technology And Control 46 (4), 566-604, 2017
Entropy-driven parameter control for evolutionary algorithms
SH Liu, M Mernik, BR Bryant
Informatica 31 (1), 2007
QoS-UniFrame: A Petri Net-based modeling approach to assure QoS requirements of distributed real-time and embedded systems
SH Liu, BR Bryant, JG Gray, RR Raje, AM Olson, M Auguston
12th IEEE International Conference and Workshops on the Engineering of …, 2005
Parameter control in evolutionary algorithms by domain-specific scripting language PPCEA
SH Liu, M Mernik, BR Bryant
Proc. 1st Intl. Conf. on Bioinspired Optimization Methods and their …, 2004
A non-invasive approach to dynamic web services provisioning
F Cao, BR Bryant, SH Liu, W Zhao
IEEE International Conference on Web Services (ICWS'05), 229-236, 2005
A semantics-and data-driven SOA for biomedical multimedia systems
SH Liu, Y Cao, M Li, P Kilaru, T Smith, S Toner
2008 Tenth IEEE International Symposium on Multimedia, 533-538, 2008
A graph pointer network-based multi-objective deep reinforcement learning algorithm for solving the traveling salesman problem
J Perera, SH Liu, M Mernik, M Črepinšek, M Ravber
Mathematics 11 (2), 437, 2023
A clustering entropy-driven approach for exploring and exploiting noisy functions
SH Liu, M Mernik, BR Bryant
Proceedings of the 2007 ACM symposium on Applied computing, 738-742, 2007
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