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Qingfu Zhang
Qingfu Zhang
Chair Professor, FIEEE, City University of Hong Kong
Bestätigte E-Mail-Adresse bei cityu.edu.hk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Q Zhang, H Li
IEEE Transactions on evolutionary computation 11 (6), 712-731, 2007
94392007
Multiobjective optimization problems with complicated Pareto sets, MOEA/D and NSGA-II
H Li, Q Zhang
IEEE transactions on evolutionary computation 13 (2), 284-302, 2008
27432008
Multiobjective evolutionary algorithms: A survey of the state of the art
A Zhou, BY Qu, H Li, SZ Zhao, PN Suganthan, Q Zhang
Swarm and evolutionary computation 1 (1), 32-49, 2011
24582011
Differential evolution with composite trial vector generation strategies and control parameters
Y Wang, Z Cai, Q Zhang
IEEE transactions on evolutionary computation 15 (1), 55-66, 2011
15982011
Multiobjective optimization test instances for the CEC 2009 special session and competition
Q Zhang, A Zhou, S Zhao, PN Suganthan, W Liu, S Tiwari
13052008
An evolutionary many-objective optimization algorithm based on dominance and decomposition
K Li, K Deb, Q Zhang, S Kwong
IEEE transactions on evolutionary computation 19 (5), 694-716, 2014
11802014
RM-MEDA: A regularity model-based multiobjective estimation of distribution algorithm
Q Zhang, A Zhou, Y Jin
IEEE Transactions on Evolutionary Computation 12 (1), 41-63, 2008
9332008
Decomposition of a multiobjective optimization problem into a number of simple multiobjective subproblems
HL Liu, F Gu, Q Zhang
IEEE transactions on evolutionary computation 18 (3), 450-455, 2013
8012013
The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instances
Q Zhang, W Liu, H Li
2009 IEEE congress on evolutionary computation, 203-208, 2009
7692009
Expensive multiobjective optimization by MOEA/D with Gaussian process model
Q Zhang, W Liu, E Tsang, B Virginas
IEEE Transactions on Evolutionary Computation 14 (3), 456-474, 2009
7642009
A Gaussian process surrogate model assisted evolutionary algorithm for medium scale expensive optimization problems
B Liu, Q Zhang, GGE Gielen
IEEE Transactions on Evolutionary Computation 18 (2), 180-192, 2013
5342013
Adaptive operator selection with bandits for a multiobjective evolutionary algorithm based on decomposition
K Li, A Fialho, S Kwong, Q Zhang
IEEE Transactions on Evolutionary Computation 18 (1), 114-130, 2013
4512013
A population prediction strategy for evolutionary dynamic multiobjective optimization
A Zhou, Y Jin, Q Zhang
IEEE transactions on cybernetics 44 (1), 40-53, 2013
4442013
Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
YJ Gong, WN Chen, ZH Zhan, J Zhang, Y Li, Q Zhang, JJ Li
Applied Soft Computing 34, 286-300, 2015
4262015
Combining model-based and genetics-based offspring generation for multi-objective optimization using a convergence criterion
A Zhou, Y Jin, Q Zhang, B Sendhoff, E Tsang
2006 IEEE international conference on evolutionary computation, 892-899, 2006
4212006
DE/EDA: A new evolutionary algorithm for global optimization
J Sun, Q Zhang, EPK Tsang
Information Sciences 169 (3-4), 249-262, 2005
4132005
An orthogonal genetic algorithm for multimedia multicast routing
Q Zhang, YW Leung
IEEE Transactions on Evolutionary Computation 3 (1), 53-62, 1999
3861999
Stable matching-based selection in evolutionary multiobjective optimization
K Li, Q Zhang, S Kwong, M Li, R Wang
IEEE Transactions on Evolutionary Computation 18 (6), 909-923, 2013
3732013
Push and pull search for solving constrained multi-objective optimization problems
Z Fan, W Li, X Cai, H Li, C Wei, Q Zhang, K Deb, E Goodman
Swarm and evolutionary computation 44, 665-679, 2019
3592019
Pareto multi-task learning
X Lin, HL Zhen, Z Li, QF Zhang, S Kwong
Advances in neural information processing systems 32, 2019
3392019
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