Tianjun Liao
Cited by
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Localized weighted sum method for many-objective optimization
R Wang, Z Zhou, H Ishibuchi, T Liao, T Zhang
IEEE Transactions on Evolutionary Computation, 2016
Ant Colony Optimization for Mixed-Variable Optimization Problems
T Liao, K Socha, M Montes de Oca, T Stuetzle, M Dorigo
IEEE Transactions on Evolutionary Computation 18 (4), 503 - 518, 2014
Artificial bee colony algorithm with dynamic population size to combined economic and emission dispatch problem
D Aydin, S Özyön, C Yaşar, T Liao
International journal of electrical power & energy systems 54, 144-153, 2014
A Unified Ant Colony Optimization Algorithm for Continuous Optimization
T Liao, T Stützle, A Marco, M Dorigo
European Journal of Operational Research 234 (3), 597-609, 2014
An incremental ant colony algorithm with local search for continuous optimization
T Liao, M Montes de Oca, D Aydın, T Stützle, M Dorigo
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2011
Belief Rule Base Structure and Parameter Joint Optimization Under Disjunctive Assumption for Nonlinear Complex System Modeling
L Chang, Z Zhou, Y Chen, T Liao, Y Hu, L Yang
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
Benchmark Results for a Simple Hybrid Algorithm on the CEC 2013 Benchmark Set for Real-parameter Optimization
T Liao, T Stützle
IEEE Congress on Evolutionary Computation (CEC), 1938 - 1944, 2013
Artificial bee colonies for continuous optimization: Experimental analysis and improvements
T Liao, D Aydın, T Stützle
Swarm Intelligence 7, 327-356, 2013
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets
T Liao, D Molina, T Stützle
Applied Soft Computing, 2014
Computational results for an automatically tuned CMA-ES with increasing population size on the CEC’05 benchmark set
T Liao, M Montes de Oca, T Stützle
Soft Computing 17 (6), 1031-1046, 2013
Akaike information criterion-based conjunctive belief rule base learning for complex system modeling
L Chang, Z Zhou, Y Chen, X Xu, J Sun, T Liao, X Tan
Knowledge-Based Systems 161, 47-64, 2018
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm
D Aydın, T Liao, M Montes de Oca, T Stützle
Artificial Evolution 7401, 85–96, 2011
Short-Term Forecasting of Wind Power Generation Based on the Similar Day and Elman Neural Network
X Zhang, R Wang, T Liao, T Zhang, Y Zha
Computational Intelligence, 2015 IEEE Symposium Series on, 647-650, 2015
A Multi-Objective Approach for Weapon Selection and Planning Problems in Dynamic Environments
J Xiong, Z Zhou, K Tian, T Liao, J Shi
Journal of Industrial and Management Optimization 12 (4), 68-91, 2016
Ranking results of CEC’13 special session & competition on real-parameter single objective optimization
I Loshchilov, T Stuetzle, T Liao
2013 IEEE Congress on Evolutionary Computation (CEC), June, 20-23, 2013
Improved ant colony optimization algorithms for continuous and mixed discrete-continuous optimization problems
IRIDIA, Université libre de Bruxelles, 2011
Sustainable queuing-network design for airport security based on the Monte Carlo method
X Xu, Z Zhou, Y Dou, Y Tan, T Liao
Sustainability 10 (2), 1, 2018
A system dynamics model for analyzing swarming UAVs air combat system
N Jia, Z Yang, T Liao, Y Dou, K Yang
2018 13th Annual Conference on System of Systems Engineering (SoSE), 74-81, 2018
Efficient solution concepts and their application in uncertain multiobjective programming
M Zheng, Y Yi, Z Wang, T Liao
Applied Soft Computing 56, 557-569, 2017
A note on bound constraints handling for the IEEE CEC’05 benchmark function suite
T Liao, D Molina, MAM de Oca, T Stützle
Evolutionary computation 22 (2), 351-359, 2014
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