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Shengxiang Yang
Shengxiang Yang
Professor of Computational Intelligence, De Montfort University
Bestätigte E-Mail-Adresse bei dmu.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A grid-based evolutionary algorithm for many-objective optimization
S Yang, M Li, X Liu, J Zheng
IEEE Transactions on Evolutionary Computation 17 (5), 721-736, 2013
8592013
Evolutionary dynamic optimization: A survey of the state of the art
TT Nguyen, S Yang, J Branke
Swarm and Evolutionary Computation 6, 1-24, 2012
7192012
Shift-based density estimation for Pareto-based algorithms in many-objective optimization
M Li, S Yang, X Liu
IEEE Transactions on Evolutionary Computation 18 (3), 348-365, 2014
6092014
A survey of swarm intelligence for dynamic optimization: Algorithms and applications
M Mavrovouniotis, C Li, S Yang
Swarm and Evolutionary Computation 33, 1-17, 2017
5812017
A self-learning particle swarm optimizer for global optimization problems
C Li, S Yang, TT Nguyen
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42 …, 2011
4262011
A clustering particle swarm optimizer for locating and tracking multiple optima in dynamic environments
S Yang, C Li
IEEE Transactions on Evolutionary Computation 14 (6), 959-974, 2010
4102010
A benchmark test suite for evolutionary many-objective optimization
R Cheng, M Li, Y Tian, X Zhang, S Yang, Y Jin, X Yao
Complex and Intelligent Systems 3 (1), 67-81, 2017
3892017
A strength pareto evolutionary algorithm based on reference direction for multi-objective and many-objective optimization
S Jiang, S Yang
IEEE Transactions on Evolutionary Computation 21 (3), 329-346, 2017
3322017
Experimental study on population-based incremental learning algorithms for dynamic optimization problems
S Yang, X Yao
Soft computing 9, 815-834, 2005
3292005
Population-based incremental learning with associative memory for dynamic environments
S Yang, X Yao
IEEE Transactions on evolutionary computation 12 (5), 542-561, 2008
3212008
Genetic algorithms with memory-and elitism-based immigrants in dynamic environments
S Yang
Evolutionary Computation 16 (3), 385-416, 2008
2802008
A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization
S Jiang, S Yang
IEEE Transactions on Evolutionary Computation 21 (1), 65-82, 2017
2732017
Pareto or non-Pareto: Bi-criterion evolution in multi-objective optimization
M Li, S Yang, X Liu
IEEE Transactions on Evolutionary Computation 20 (5), 645-665, 2016
2702016
Genetic algorithms with immigrants and memory schemes for dynamic shortest path routing problems in mobile ad hoc networks
S Yang, H Cheng, F Wang
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and …, 2010
2642010
Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems
M Mavrovouniotis, FM Müller, S Yang
IEEE Transactions on Cybernetics 47 (7), 1743-1756, 2017
2412017
Benchmark generator for CEC 2009 competition on dynamic optimization
C Li, S Yang, TT Nguyen, EL Yu, X Yao, Y Jin, HG Beyer, PN Suganthan
2352008
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks
W Fang, S Yang, X Yao
IEEE Transactions on Intelligent Transportation Systems 16 (6), 2997-3016, 2015
2322015
An adaptive localized decision variable analysis approach to large scale multi-objective and many-objective optimization
L Ma, M Huang, S Yang, R Wang, X Wang
IEEE Transactions on Cybernetics 52 (7), 6684-6696, 2022
2302022
An improved multi-objective optimization evolutionary algorithm based on decomposition for complex pareto fronts
S Jiang, S Yang
IEEE Transactions on Cybernetics 46 (2), 421-437, 2016
2282016
Bi-goal evolution for many-objective optimization problems
M Li, S Yang, X Liu
Artificial Intelligence 228, 45-65, 2015
2202015
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