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Ke Tang 0001
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Publications
- 2025
- [c128]Qiaozhi Zhang, Miqing Li, Ke Tang, Xin Yao:
When Is Non-deteriorating Population Update in MOEAs Beneficial? EMO (2) 2025: 31-45 - [i83]Ziming Wang, Changwu Huang, Ke Tang, Xin Yao:
Procedural Fairness and Its Relationship with Distributive Fairness in Machine Learning. CoRR abs/2501.06753 (2025) - [i72]Qingya Li, Shengcai Liu, Wenjie Chen, Juan Zou, Ke Tang, Xin Yao:
Knowledge-Guided Memetic Algorithm for Capacitated Arc Routing Problems with Time-Dependent Service Costs. CoRR abs/2507.21740 (2025) - [i71]Zhi Yang, Changwu Huang, Ke Tang, Xin Yao:
On the Fairness of Privacy Protection: Measuring and Mitigating the Disparity of Group Privacy Risks for Differentially Private Machine Learning. CoRR abs/2510.09114 (2025) - 2024
- [i66]Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang:
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR abs/2405.18884 (2024) - 2023
- [j117]Shengcai Liu
, Yu Zhang
How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 18(3): 14-28 (2023) - 2022
- [j106]Shengcai Liu
Generative Adversarial Construction of Parallel Portfolios. IEEE Trans. Cybern. 52(2): 784-795 (2022) - [j103]Xiaofen Lu
Dynamic Optimization in Fast-Changing Environments via Offline Evolutionary Search. IEEE Trans. Evol. Comput. 26(3): 431-445 (2022) - [i43]Shengcai Liu, Yu Zhang, Ke Tang, Xin Yao:
How Good Is Neural Combinatorial Optimization? CoRR abs/2209.10913 (2022) - 2021
- [j99]Chao Qian
Analysis of Noisy Evolutionary Optimization When Sampling Fails. Algorithmica 83(4): 940-975 (2021) - [j97]Jialin Liu
Robust Optimization in Uncertain Capacitated Arc Routing Problems: Progresses and Perspectives [Review Article]. IEEE Comput. Intell. Mag. 16(1): 63-82 (2021) - [j96]Peng Yang, Qi Yang
Parallel exploration via negatively correlated search. Frontiers Comput. Sci. 15(5): 155333 (2021) - [j90]Shengcai Liu
Memetic search for vehicle routing with simultaneous pickup-delivery and time windows. Swarm Evol. Comput. 66: 100927 (2021) - [j87]Ke Tang
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution. IEEE Trans. Evol. Comput. 25(3): 595-607 (2021) - [j86]Bo Yuan
Cooperative Coevolution-based Design Space Exploration for Multi-mode Dataflow Mapping. ACM Trans. Embed. Comput. Syst. 20(3): 21:1-21:25 (2021) - 2020
- [c103]Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. AAAI 2020: 2384-2391 - [c101]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
A Competitive Co-evolutionary optimization Method for the Dynamic Vehicle Routing Problem. SSCI 2020: 305-312 - [i33]Ke Tang, Shengcai Liu, Peng Yang, Xin Yao:
Few-shots Parameter Tuning via Co-evolution. CoRR abs/2007.00501 (2020) - [i30]Shengcai Liu, Ke Tang, Xin Yao:
Memetic Search for Vehicle Routing with Simultaneous Pickup-Delivery and Time Windows. CoRR abs/2011.06331 (2020) - 2019
- [j76]Peng Yang
A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization. IEEE Access 7: 163105-163118 (2019) - [j75]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing submodular or monotone approximately submodular functions by multi-objective evolutionary algorithms. Artif. Intell. 275: 279-294 (2019) - [j73]José Antonio Lozano, Ke Tang, Xin Yao
Preface. Nat. Comput. 18(2): 285-286 (2019) - [j69]Wenjing Hong, Ke Tang, Aimin Zhou, Hisao Ishibuchi
A Scalable Indicator-Based Evolutionary Algorithm for Large-Scale Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(3): 525-537 (2019) - [c100]Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. AAAI 2019: 1560-1567 - [c95]Liangpeng Zhang, Ke Tang, Xin Yao:
Explicit Planning for Efficient Exploration in Reinforcement Learning. NeurIPS 2019: 7486-7495 - [i25]Xiaofen Lu, Ke Tang, Stefan Menzel, Xin Yao:
Competitive Co-evolution for Dynamic Constrained Optimisation. CoRR abs/1907.13529 (2019) - [i24]Peng Yang, Ke Tang, Xin Yao:
Negatively Correlated Search as a Parallel Exploration Search Strategy. CoRR abs/1910.07151 (2019) - [i23]Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao:
On Performance Estimation in Automatic Algorithm Configuration. CoRR abs/1911.08200 (2019) - 2018
- [j65]Chao Qian, Yang Yu, Ke Tang, Yaochu Jin
On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. Evol. Comput. 26(2) (2018) - [j63]Peng Yang
Turning High-Dimensional Optimization Into Computationally Expensive Optimization. IEEE Trans. Evol. Comput. 22(1): 143-156 (2018) - [j62]Xiaofen Lu
Cooperative Co-Evolution-Based Design Optimization: A Concurrent Engineering Perspective. IEEE Trans. Evol. Comput. 22(2): 173-188 (2018) - [j60]Yu Sun
Concept Drift Adaptation by Exploiting Historical Knowledge. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4822-4832 (2018) - [c94]Chao Qian, Yibo Zhang, Ke Tang, Xin Yao:
On Multiset Selection With Size Constraints. AAAI 2018: 1395-1402 - [c93]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao
Analysis of noisy evolutionary optimization when sampling fails. GECCO 2018: 1507-1514 - [i22]Shengcai Liu, Ke Tang, Xin Yao:
Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. CoRR abs/1804.06088 (2018) - [i21]Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao:
Analysis of Noisy Evolutionary Optimization When Sampling Fails. CoRR abs/1810.05045 (2018) - [i18]Peng Yang, Ke Tang, Xin Yao:
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization. CoRR abs/1812.02500 (2018) - 2017
- [j54]Ke Tang
A Scalable Approach to Capacitated Arc Routing Problems Based on Hierarchical Decomposition. IEEE Trans. Cybern. 47(11): 3928-3940 (2017) - [c74]Liangpeng Zhang, Ke Tang, Xin Yao:
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning. NIPS 2017: 1804-1814 - [i17]Yu Sun, Ke Tang, Zexuan Zhu, Xin Yao:
Concept Drift Adaptation by Exploiting Historical Knowledge. CoRR abs/1702.03500 (2017) - [i15]Shengcai Liu, Ke Tang, Xin Yao:
Experience-based Optimization: A Coevolutionary Approach. CoRR abs/1703.09865 (2017) - [i14]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - [i11]Chao Qian, Yang Yu, Ke Tang, Xin Yao, Zhi-Hua Zhou:
Maximizing Non-monotone/Non-submodular Functions by Multi-objective Evolutionary Algorithms. CoRR abs/1711.07214 (2017) - 2016
- [j51]Zhenyu Yang, Bernhard Sendhoff
Target shape design optimization by evolving B-splines with cooperative coevolution. Appl. Soft Comput. 48: 672-682 (2016) - [j48]Ke Tang, Peng Yang
Negatively Correlated Search. IEEE J. Sel. Areas Commun. 34(3): 542-550 (2016) - [j45]Juan Wang, Ke Tang, José Antonio Lozano, Xin Yao
Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 20(1): 96-109 (2016) - [j44]Shan He
Cooperative Co-Evolutionary Module Identification With Application to Cancer Disease Module Discovery. IEEE Trans. Evol. Comput. 20(6): 874-891 (2016) - [j43]Bingdong Li, Ke Tang
Stochastic Ranking Algorithm for Many-Objective Optimization Based on Multiple Indicators. IEEE Trans. Evol. Comput. 20(6): 924-938 (2016) - [j42]Yu Sun, Ke Tang, Leandro L. Minku
Online Ensemble Learning of Data Streams with Gradually Evolved Classes. IEEE Trans. Knowl. Data Eng. 28(6): 1532-1545 (2016) - [c71]Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao
Search based recommender system using many-objective evolutionary algorithm. CEC 2016: 120-126 - [c70]Peng Yang, Guanzhou Lu, Ke Tang, Xin Yao
A multi-modal optimization approach to single path planning for unmanned aerial vehicle. CEC 2016: 1735-1742 - [c66]Xiaofen Lu, Ke Tang, Xin Yao
Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation. PPSN 2016: 203-213 - [i9]Peng Yang, Ke Tang, Xin Yao:
High-dimensional Black-box Optimization via Divide and Approximate Conquer. CoRR abs/1603.03518 (2016) - [i8]Liangpeng Zhang, Ke Tang, Xin Yao:
Success Probability of Exploration: a Concrete Analysis of Learning Efficiency. CoRR abs/1612.00882 (2016) - 2015
- [j41]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
Many-Objective Evolutionary Algorithms: A Survey. ACM Comput. Surv. 48(1): 13:1-13:35 (2015) - [j36]Pu Wang, Michael Emmerich
Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Trans. Evol. Comput. 19(2): 188-200 (2015) - [j35]Haobo Fu, Bernhard Sendhoff
Robust Optimization Over Time: Problem Difficulties and Benchmark Problems. IEEE Trans. Evol. Comput. 19(5): 731-745 (2015) - [j33]Xiaoxing Yang
A Learning-to-Rank Approach to Software Defect Prediction. IEEE Trans. Reliab. 64(1): 234-246 (2015) - [c60]Shengcai Liu, Yufan Wei, Ke Tang, A. Kai Qin
QoS-aware long-term based service composition in cloud computing. CEC 2015: 3362-3369 - [c57]Liangpeng Zhang, Ke Tang, Xin Yao:
Increasingly Cautious Optimism for Practical PAC-MDP Exploration. IJCAI 2015: 4033-4040 - [i7]Ke Tang, Peng Yang, Xin Yao:
Negatively Correlated Cooperative Search. CoRR abs/1504.04914 (2015) - 2014
- [j31]Thomas Weise, Raymond Chiong
Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem. IEEE Comput. Intell. Mag. 9(3): 40-52 (2014) - [j30]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A review of concurrent optimisation methods. Int. J. Bio Inspired Comput. 6(1): 22-31 (2014) - [j29]Pu Wang, Ke Tang, Thomas Weise, Edward P. K. Tsang, Xin Yao
Multiobjective genetic programming for maximizing ROC performance. Neurocomputing 125: 102-118 (2014) - [j28]Xiaofen Lu, Ke Tang, Bernhard Sendhoff
A new self-adaptation scheme for differential evolution. Neurocomputing 146: 2-16 (2014) - [j27]Ke Tang, Fei Peng, Guoliang Chen, Xin Yao
Population-based Algorithm Portfolios with automated constituent algorithms selection. Inf. Sci. 279: 94-104 (2014) - [j26]Thomas Weise, Mingxu Wan, Pu Wang, Ke Tang, Alexandre Devert, Xin Yao
Frequency Fitness Assignment. IEEE Trans. Evol. Comput. 18(2): 226-243 (2014) - [c54]Haobo Fu, Peter R. Lewis
What are dynamic optimization problems? IEEE Congress on Evolutionary Computation 2014: 1550-1557 - [c53]Thomas Weise, Mingxu Wan, Ke Tang, Xin Yao
Evolving exact integer algorithms with Genetic Programming. IEEE Congress on Evolutionary Computation 2014: 1816-1823 - [c52]Bingdong Li, Jinlong Li, Ke Tang, Xin Yao
An improved Two Archive Algorithm for Many-Objective optimization. IEEE Congress on Evolutionary Computation 2014: 2869-2876 - [c49]Xiaofen Lu, Stefan Menzel, Ke Tang, Xin Yao:
The Performance Effects of Interaction Frequency in Parallel Cooperative Coevolution. SEAL 2014: 82-93 - 2013
- [j25]Yaochu Jin
A framework for finding robust optimal solutions over time. Memetic Comput. 5(1): 3-18 (2013) - [j24]Minlong Lin, Ke Tang, Xin Yao
Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification. IEEE Trans. Neural Networks Learn. Syst. 24(4): 647-660 (2013) - [c46]Haobo Fu, Bernhard Sendhoff, Ke Tang, Xin Yao:
Finding Robust Solutions to Dynamic Optimization Problems. EvoApplications 2013: 616-625 - [c45]Rui Wang, Weishan Dong, Yu Wang, Ke Tang, Xin Yao
Pipe failure prediction: A data mining method. ICDE 2013: 1208-1218 - [c40]Juan Wang, Ke Tang, Xin Yao
A memetic algorithm for uncertain Capacitated Arc Routing Problems. Memetic Computing 2013: 72-79 - [e1]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - [i6]Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao:
Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance. CoRR abs/1303.3145 (2013) - 2012
- [j18]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
A large population size can be unhelpful in evolutionary algorithms. Theor. Comput. Sci. 436: 54-70 (2012) - [j16]Zhenyu Yang, Xiaoli Li
An Efficient Evolutionary Approach to Parameter Identification in a Building Thermal Model. IEEE Trans. Syst. Man Cybern. Part C 42(6): 957-969 (2012) - [c39]Haobo Fu, Bernhard Sendhoff
Characterizing environmental changes in Robust Optimization Over Time. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c37]Xiaoxing Yang, Ke Tang, Xin Yao
A Learning-to-Rank Algorithm for Constructing Defect Prediction Models. IDEAL 2012: 167-175 - [c36]Qiang Huang
Community Detection Using Cooperative Co-evolutionary Differential Evolution. PPSN (2) 2012: 235-244 - [i4]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao:
A Large Population Size Can Be Unhelpful in Evolutionary Algorithms. CoRR abs/1208.2345 (2012) - 2011
- [j15]Xin Yu, Ke Tang, Xin Yao
Immigrant schemes for evolutionary algorithms in dynamic environments: Adapting the replacement rate. Sci. China Inf. Sci. 54(7): 1352-1364 (2011) - [j14]Zhenyu Yang, Ke Tang, Xin Yao
Scalability of generalized adaptive differential evolution for large-scale continuous optimization. Soft Comput. 15(11): 2141-2155 (2011) - [j13]Yi Mei
Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem. IEEE Trans. Evol. Comput. 15(2): 151-165 (2011) - [c34]Pu Wang, Ke Tang, Edward P. K. Tsang, Xin Yao
A Memetic Genetic Programming with decision tree-based local search for classification problems. IEEE Congress on Evolutionary Computation 2011: 917-924 - [c33]Xiaofen Lu, Ke Tang, Xin Yao
Classification-assisted Differential Evolution for computationally expensive problems. IEEE Congress on Evolutionary Computation 2011: 1986-1993 - [i1]Tianshi Chen, Yunji Chen, Ke Tang, Guoliang Chen, Xin Yao:
The Impact of Mutation Rate on the Computation Time of Evolutionary Dynamic Optimization. CoRR abs/1106.0566 (2011) - 2010
- [j11]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Analysis of Computational Time of Simple Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. 14(1): 1-22 (2010) - [j10]Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
Population-Based Algorithm Portfolios for Numerical Optimization. IEEE Trans. Evol. Comput. 14(5): 782-800 (2010) - [j9]Zai Wang, Ke Tang, Xin Yao
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems. IEEE Trans. Reliab. 59(3): 563-575 (2010) - [j8]Zai Wang, Ke Tang, Xin Yao
A Memetic Algorithm for Multi-Level Redundancy Allocation. IEEE Trans. Reliab. 59(4): 754-765 (2010) - [c27]Pu Wang, Edward P. K. Tsang, Thomas Weise, Ke Tang, Xin Yao
Using GP to evolve decision rules for classification in financial data sets. IEEE ICCI 2010: 720-727 - [c25]Yi Mei
Capacitated arc routing problem in uncertain environments. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c24]Xin Yu, Yaochu Jin
Robust optimization over time - A new perspective on dynamic optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-6 - [c21]Xiaofen Lu, Ke Tang, Xin Yao
Evolving Neural Networks with Maximum AUC for Imbalanced Data Classification. HAIS (1) 2010: 335-342 - 2009
- [j7]Ke Tang, Xin Yao
From nature to computing and back. Frontiers Comput. Sci. China 3(1): 1-3 (2009) - [j6]Ke Tang, Minlong Lin, Fernanda L. Minku, Xin Yao
Selective negative correlation learning approach to incremental learning. Neurocomputing 72(13-15): 2796-2805 (2009) - [j5]Xin Yu, Ke Tang, Tianshi Chen, Xin Yao
Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Memetic Comput. 1(1): 3-24 (2009) - [j4]Ke Tang, Yi Mei
Memetic Algorithm With Extended Neighborhood Search for Capacitated Arc Routing Problems. IEEE Trans. Evol. Comput. 13(5): 1151-1166 (2009) - [j3]Yi Mei
A Global Repair Operator for Capacitated Arc Routing Problem. IEEE Trans. Syst. Man Cybern. Part B 39(3): 723-734 (2009) - [c18]Zhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao
An adaptive coevolutionary Differential Evolution algorithm for large-scale optimization. IEEE Congress on Evolutionary Computation 2009: 102-109 - [c17]Zai Wang, Tianshi Chen, Ke Tang, Xin Yao
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems. IEEE Congress on Evolutionary Computation 2009: 582-589 - [c15]Tianshi Chen, Per Kristian Lehre
When is an estimation of distribution algorithm better than an evolutionary algorithm? IEEE Congress on Evolutionary Computation 2009: 1470-1477 - [c14]Yi Mei
Improved memetic algorithm for Capacitated Arc Routing Problem. IEEE Congress on Evolutionary Computation 2009: 1699-1706 - [c13]Fei Peng, Ke Tang, Guoliang Chen, Xin Yao
Multi-start JADE with knowledge transfer for numerical optimization. IEEE Congress on Evolutionary Computation 2009: 1889-1895 - [c12]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with margins. IEEE Congress on Evolutionary Computation 2009: 2157-2164 - [c10]Xiaoxing Yang, Ke Tang, Xin Yao
The Minimum Redundancy - Maximum Relevance Approach to Building Sparse Support Vector Machines. IDEAL 2009: 184-190 - [c9]Shuo Wang, Ke Tang, Xin Yao
Diversity exploration and negative correlation learning on imbalanced data sets. IJCNN 2009: 3259-3266 - 2008
- [j2]Ke Tang, Xin Yao
Special Issue on "Nature Inspired Problem-Solving". Inf. Sci. 178(15): 2983-2984 (2008) - [j1]Zhenyu Yang, Ke Tang, Xin Yao
Large scale evolutionary optimization using cooperative coevolution. Inf. Sci. 178(15): 2985-2999 (2008) - [c8]Zhenyu Yang, Ke Tang, Xin Yao
Self-adaptive differential evolution with neighborhood search. IEEE Congress on Evolutionary Computation 2008: 1110-1116 - [c7]Xin Yu, Ke Tang, Xin Yao
An immigrants scheme based on environmental information for genetic algorithms in changing environments. IEEE Congress on Evolutionary Computation 2008: 1141-1147 - [c6]Zai Wang, Ke Tang, Xin Yao
A multi-objective approach to testing resource allocation in modular software systems. IEEE Congress on Evolutionary Computation 2008: 1148-1153 - [c5]Zhenyu Yang, Ke Tang, Xin Yao
Multilevel cooperative coevolution for large scale optimization. IEEE Congress on Evolutionary Computation 2008: 1663-1670 - [c3]Minlong Lin, Ke Tang, Xin Yao
Selective negative correlation learning algorithm for incremental learning. IJCNN 2008: 2525-2530 - 2007
- [c2]Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
On the analysis of average time complexity of estimation of distribution algorithms. IEEE Congress on Evolutionary Computation 2007: 453-460 - [c1]Zhenyu Yang, Ke Tang, Xin Yao
Differential evolution for high-dimensional function optimization. IEEE Congress on Evolutionary Computation 2007: 3523-3530
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