Следене
Yaochu Jin, Chair Professor, MAE, Recipient of IEEE Frank Rosenblatt Award; A. v. Humboldt Professor
Yaochu Jin, Chair Professor, MAE, Recipient of IEEE Frank Rosenblatt Award; A. v. Humboldt Professor
Department of Artificial Intelligence, Westlake University, China
Потвърден имейл адрес: westlake.edu.cn - Начална страница
Заглавие
Позовавания
Позовавания
Година
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
Y Tian, R Cheng, X Zhang, Y Jin
IEEE Computational Intelligence Magazine 12 (4), 73 - 87, 2017
22312017
Evolutionary optimization in uncertain environments-a survey
Y Jin, J Branke
IEEE Transactions on Evolutionary Computation 9 (3), 303-317, 2005
20212005
A Reference Vector Guided Evolutionary Algorithm for Many-Objective Optimization
R Cheng, Y Jin, O Markus, B Sendhoff
IEEE Transactions on Evolutionary Computation 20 (5), 773 - 791, 2016
16032016
A comprehensive survey of fitness approximation in evolutionary computation
Y Jin
Soft computing 9 (1), 3-12, 2005
15802005
Surrogate-assisted evolutionary computation: Recent advances and future challenges
Y Jin
Swarm and Evolutionary Computation 1 (2), 61-70, 2011
14702011
A Competitive Swarm Optimizer for Large Scale Optimization.
R Cheng, Y Jin
IEEE Transactions on Cybernetics 45 (2), 191-204, 2015
10472015
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
9392008
A Knee Point Driven Evolutionary Algorithm for Many-Objective Optimization
X Zhang, Y Tian, Y Jin
IEEE Transactions on Evolutionary Computation 19 (6), 761-776, 2015
8622015
A framework for evolutionary optimization with approximate fitness functions
Y Jin, M Olhofer, B Sendhoff
IEEE Transactions on Evolutionary Computation 6 (5), 481-494, 2002
8412002
Federated learning on non-IID data: A survey
H Zhu, J Xu, S Liu, Y Jin
Neurocomputing 465, 371-390, 2021
8262021
A social learning particle swarm optimization algorithm for scalable optimization
R Cheng, Y Jin
Information Sciences 291, 43-60, 2015
7862015
A survey of deep learning applications to autonomous vehicle control
S Kuutti, R Bowden, Y Jin, P Barber, S Fallah
IEEE Transactions on Intelligent Transportation Systems 22 (2), 712-733, 2020
7672020
An indicator-based multiobjective evolutionary algorithm with reference point adaptation for better versatility
Y Tian, R Cheng, X Zhang, F Cheng, Y Jin
IEEE Transactions on Evolutionary Computation 22 (4), 609-622, 2017
6452017
Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement
Y Jin
IEEE Transactions on Fuzzy Systems 8 (2), 212-221, 2000
6422000
Data-driven evolutionary optimization: An overview and case studies
Y Jin, H Wang, T Chugh, D Guo, K Miettinen
IEEE Transactions on Evolutionary Computation 23 (3), 442-458, 2018
6032018
Communication-efficient federated deep learning with layerwise asynchronous model update and temporally weighted aggregation
Y Chen, X Sun, Y Jin
IEEE transactions on neural networks and learning systems 31 (10), 4229-4238, 2020
5752020
An Efficient Approach to Non-dominated Sorting for Evolutionary Multi-objective Optimization
X Zhang, Y Tian, R Cheng, Y Jin
IEEE Transactions on Evolutionary Computation 19 (2), 201-213, 2015
5702015
A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization
X Zhang, Y Tian, R Cheng, Y Jin
IEEE Transactions on evolutionary Computation 22 (1), 97-112, 2016
5692016
A surrogate-assisted reference vector guided evolutionary algorithm for computationally expensive many-objective optimization
T Chugh, Y Jin, K Miettinen, J Hakanen, K Sindhya
IEEE Transactions on Evolutionary Computation 22 (1), 129-142, 2016
5622016
Pareto-based multiobjective machine learning: An overview and case studies
Y Jin, B Sendhoff
IEEE Transactions on Systems, Man, and Cybernetics, Part C 38 (3), 397-415, 2008
5532008
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