MOEA/D: A multiobjective evolutionary algorithm based on decomposition Q Zhang, H Li IEEE Transactions on evolutionary computation 11 (6), 712-731, 2007 | 9093 | 2007 |
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 | 2685 | 2008 |
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 | 2408 | 2011 |
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 | 1572 | 2011 |
Multiobjective optimization test instances for the CEC 2009 special session and competition Q Zhang, A Zhou, S Zhao, PN Suganthan, W Liu, S Tiwari | 1277 | 2008 |
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 | 1153 | 2014 |
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 | 911 | 2008 |
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 | 779 | 2013 |
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 | 755 | 2009 |
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 | 729 | 2009 |
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 | 510 | 2013 |
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 | 439 | 2013 |
A population prediction strategy for evolutionary dynamic multiobjective optimization A Zhou, Y Jin, Q Zhang IEEE transactions on cybernetics 44 (1), 40-53, 2013 | 424 | 2013 |
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 | 414 | 2015 |
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 | 411 | 2006 |
DE/EDA: A new evolutionary algorithm for global optimization J Sun, Q Zhang, EPK Tsang Information Sciences 169 (3-4), 249-262, 2005 | 411 | 2005 |
An orthogonal genetic algorithm for multimedia multicast routing Q Zhang, YW Leung IEEE Transactions on Evolutionary Computation 3 (1), 53-62, 1999 | 386 | 1999 |
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 | 363 | 2013 |
Objective reduction in many-objective optimization: Linear and nonlinear algorithms DK Saxena, JA Duro, A Tiwari, K Deb, Q Zhang IEEE Transactions on Evolutionary Computation 17 (1), 77-99, 2012 | 329 | 2012 |
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 | 326 | 2019 |