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Semantic ScholarYew-Soon Ong
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- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
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2010 – today
- 2018
[j120]Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang:
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access 6: 60380-60395 (2018)- [j119]Yanfei Zhong, Ailong Ma, Yew-Soon Ong, Zexuan Zhu, Liangpei Zhang:
Computational intelligence in optical remote sensing image processing. Appl. Soft Comput. 64: 75-93 (2018) - [j118]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. 70: 576-589 (2018) - [j117]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 13(1): 25-27 (2018) - [j116]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 13(2): 13-15 (2018) - [j115]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 13(3): 8-11 (2018) - [j114]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 13(4): 10-12 (2018) - [j113]Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang:
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. of AI 67: 211-225 (2018) - [j112]Weili Guo, Haikun Wei, Yew-Soon Ong, Jaime Rubio Hervas, Junsheng Zhao, Hai Wang, Kanjian Zhang:
Numerical Analysis near Singularities in RBF Networks. Journal of Machine Learning Research 19 (2018) - [j111]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
Remarks on multi-output Gaussian process regression. Knowl.-Based Syst. 144: 102-121 (2018) - [j110]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl.-Based Syst. 154: 17-31 (2018) - [j109]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh:
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Processing Letters 47(3): 993-1009 (2018) - [j108]Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evolutionary Computation 22(2): 189-210 (2018) - [j107]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerging Topics in Comput. Intellig. 2(1): 51-64 (2018) - [j106]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Netw. Learning Syst. 29(9): 4324-4338 (2018) - [j105]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Systems, Man, and Cybernetics: Systems 48(7): 1191-1210 (2018) - [c113]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. AAAI 2018: 4066-4073 - [c112]Zhiwei Zeng, Xiuyi Fan, Chunyan Miao, Cyril Leung, Jing Jih Chin, Yew-Soon Ong:
Context-based and Explainable Decision Making with Argumentation. AAMAS 2018: 1114-1122 - [c111]Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu:
A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. CEC 2018: 1-7 - [c110]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML 2018: 3137-3146 - [c109]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [c108]Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun:
Discrete Network Embedding. IJCAI 2018: 3549-3555 - [i13]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR abs/1806.00720 (2018) - [i12]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR abs/1807.01065 (2018) - [i11]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i10]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. CoRR abs/1810.08669 (2018) - 2017
- [j104]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Computers & Chemical Engineering 106: 171-182 (2017) - [j103]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 12(2): 20-22 (2017) - [j102]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 12(3): 6-9 (2017) - [j101]Jinghui Zhong, Liang Feng, Yew-Soon Ong:
Gene Expression Programming: A Survey [Review Article]. IEEE Comp. Int. Mag. 12(3): 54-72 (2017) - [j100]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comp. Int. Mag. 12(4): 9-11 (2017) - [j99]Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comp. Int. Mag. 12(4): 48-60 (2017) - [j98]Mei-Ying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhi-Wei Ni:
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. of AI 64: 13-24 (2017) - [j97]Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang:
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. 71: 288-300 (2017) - [j96]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing 243: 21-34 (2017) - [j95]Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan:
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybernetics 47(7): 1652-1665 (2017) - [j94]Yifeng Zeng, Xuefeng Chen, Yew-Soon Ong, Jing Tang, Yanping Xiang:
Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Trans. Evolutionary Computation 21(1): 102-115 (2017) - [j93]Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada:
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Trans. Evolutionary Computation 21(4): 601-615 (2017) - [j92]Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta:
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evolutionary Computation 21(5): 760-772 (2017) - [j91]Yew-Soon Ong:
Editorial IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Trans. Emerging Topics in Comput. Intellig. 1(1): 1 (2017) - [c107]
- [c106]Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. CEC 2017: 1295-1302 - [c105]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. CVPR 2017: 5996-6004 - [c104]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - [p3]Abhishek Gupta, Bingshui Da, Yuan Yuan, Yew-Soon Ong:
On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking. Recent Advances in Evolutionary Multi-objective Optimization 2017: 139-157 - [i9]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information. CoRR abs/1702.08681 (2017) - [i8]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR abs/1703.01887 (2017) - [i7]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i6]Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. 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) - [i5]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR abs/1711.06763 (2017) - 2016
- [j90]Shahrzad Faghih-Roohi, Yew-Soon Ong, Sobhan Asian, Allan N. Zhang:
Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks. Annals OR 247(2): 715-734 (2016) - [j89]Yew-Soon Ong, Abhishek Gupta:
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cognitive Computation 8(2): 125-142 (2016) - [j88]Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta:
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evolutionary Intelligence 9(4): 203-220 (2016) - [j87]Wan-Yu Deng, Yew-Soon Ong, Puay Siew Tan, Qing-Hua Zheng:
Online sequential reduced kernel extreme learning machine. Neurocomputing 174: 72-84 (2016) - [j86]Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill:
GP made faster with semantic surrogate modelling. Inf. Sci. 355-356: 169-185 (2016) - [j85]Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria:
Learning word dependencies in text by means of a deep recurrent belief network. Knowl.-Based Syst. 108: 144-154 (2016) - [j84]
- [j83]Wan-Yu Deng, Yew-Soon Ong, Qing-Hua Zheng:
A Fast Reduced Kernel Extreme Learning Machine. Neural Networks 76: 29-38 (2016) - [j82]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
Making Trillion Correlations Feasible in Feature Grouping and Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2472-2486 (2016) - [j81]Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen:
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. Soft Comput. 20(9): 3745-3769 (2016) - [j80]Yanfei Zhong, Zexuan Zhu, Yew-Soon Ong:
Soft computing in remote sensing image processing. Soft Comput. 20(12): 4629-4630 (2016) - [j79]Maciej Swiechowski, Jacek Mandziuk, Yew-Soon Ong:
Specialization of a UCT-Based General Game Playing Program to Single-Player Games. IEEE Trans. Comput. Intellig. and AI in Games 8(3): 218-228 (2016) - [j78]Enrique Muñoz Ballester, José Manuel Cadenas, Yew-Soon Ong, Giovanni Acampora:
Memetic Music Composition. IEEE Trans. Evolutionary Computation 20(1): 1-15 (2016) - [j77]Jinghui Zhong, Yew-Soon Ong, Wentong Cai:
Self-Learning Gene Expression Programming. IEEE Trans. Evolutionary Computation 20(1): 65-80 (2016) - [j76]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evolutionary Computation 20(3): 343-357 (2016) - [j75]Gitae Kim, Yew-Soon Ong, Taesu Cheong, Puay Siew Tan:
Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Trans. Intelligent Transportation Systems 17(8): 2367-2380 (2016) - [c103]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI 2016: 54-65 - [c102]Yaqing Hou, Yifeng Zeng, Yew-Soon Ong:
A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. AAMAS 2016: 539-547 - [c101]Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan:
Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. CEC 2016: 492-499 - [c100]Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai:
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 500-507 - [c99]Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong:
Application of route flexibility in data-starved vehicle routing problem with time windows. CEC 2016: 799-805 - [c98]Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha:
A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. CEC 2016: 1687-1694 - [c97]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Evolutionary multitasking across single and multi-objective formulations for improved problem solving. CEC 2016: 1695-1701 - [c96]Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh:
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC 2016: 1940-1947 - [c95]A. Gupta, Yew-Soon Ong, B. Da, L. Feng, Stephanus Daniel Handoko:
Landscape synergy in evolutionary multitasking. CEC 2016: 3076-3083 - [c94]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) 2016: 37-46 - [c93]Yaqing Hou, Liang Feng, Yew-Soon Ong:
Creating human-like non-player game characters using a Memetic Multi-Agent System. IJCNN 2016: 177-184 - [c92]Yawei Li, Lizuo Jin, A. K. Qin, Changyin Sun, Yew-Soon Ong, Tong Cui:
Semi-supervised auto-encoder based on manifold learning. IJCNN 2016: 4032-4039 - [c91]C. S. Chen, Yaqing Hou, Yew-Soon Ong:
A conceptual modeling of flocking-regulated multi-agent reinforcement learning. IJCNN 2016: 5256-5262 - [c90]Minh Le Nguyen, Le Sy Vinh, Yew-Soon Ong, Lam Thu Bui, Keiji Hirata:
Preface KSE 2016. KSE 2016: viii - [c89]Abhishek Gupta, Yew-Soon Ong:
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI 2016: 1-7 - [c88]Ramón Sagarna, Yew-Soon Ong:
Concurrently searching branches in software tests generation through multitask evolution. SSCI 2016: 1-8 - [c87]Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha:
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem. SSCI 2016: 1-8 - [c86]Stanley Frederick W. T. Lim, Allan N. Zhang, Mark Goh, Yew-Soon Ong, Puay Siew Tan:
Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis. UKSim 2016: 252-257 - [e6]Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van-Giang Nguyen, Yew-Soon Ong, Keiji Hirata:
2016 Eighth International Conference on Knowledge and Systems Engineering, KSE 2016, Hanoi, Vietnam, October 6-8, 2016. IEEE 2016, ISBN 978-1-4673-8929-7 [contents] - [i4]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
Adaptive Subgradient Methods for Online AUC Maximization. CoRR abs/1602.00351 (2016) - [i3]Abhishek Gupta, Yew-Soon Ong:
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR abs/1607.05390 (2016) - 2015
- [j74]Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Yonggang Wen, Yew-Soon Ong, Weiya Xi:
Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems. Frontiers Comput. Sci. 9(6): 904-918 (2015) - [j73]Ahmed Kattan, Yew-Soon Ong:
Surrogate Genetic Programming: A semantic aware evolutionary search. Inf. Sci. 296: 345-359 (2015) - [j72]
- [j71]
- [j70]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang:
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Computing 7(3): 159-180 (2015) - [j69]
- [j68]Iti Chaturvedi, Yew-Soon Ong, Rajesh Vellore Arumugam:
Deep transfer learning for classification of time-delayed Gaussian networks. Signal Processing 110: 250-262 (2015) - [j67]Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan:
A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybernetics 45(10): 2202-2213 (2015) - [j66]Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang:
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP. IEEE Trans. Evolutionary Computation 19(5): 644-658 (2015) - [j65]Gitae Kim, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan, Nengsheng Allan Zhang:
City Vehicle Routing Problem (City VRP): A Review. IEEE Trans. Intelligent Transportation Systems 16(4): 1654-1666 (2015) - [j64]Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong:
Meme representations for game agents. World Wide Web 18(2): 215-234 (2015) - [c85]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
An Adaptive Gradient Method for Online AUC Maximization. AAAI 2015: 2568-2574 - [c84]Abhishek Gupta, Yew-Soon Ong:
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC 2015: 1636-1642 - [c83]Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan:
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC 2015: 2713-2720 - [c82]Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong:
A data-driven approach for online adaptation of game difficulty. CIG 2015: 146-153 - [c81]Q. Guo, Chen Kim Heng, Y. L. Theng, Yew-Soon Ong, Puay Siew Tan:
Offline time-sensitive travel time estimation in an urban road network. IEEM 2015: 848-852 - [c80]
- 2014
- [j63]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
The Emerging ?Big Dimensionality? IEEE Comp. Int. Mag. 9(3): 14-26 (2014) - [j62]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization based on reputation. Inf. Sci. 286: 125-146 (2014) - [j61]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 6(1): 1-2 (2014) - [j60]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 6(2): 75-76 (2014) - [j59]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 6(4): 213-214 (2014) - [j58]Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng:
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybernetics 44(12): 2391-2404 (2014) - [c79]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS 2014: 1479-1480 - [c78]Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi:
Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation 2014: 2499-2506 - [c77]Jesada Kajornrit, Kevin Kok Wai Wong, Lance Chun Che Fung, Yew-Soon Ong:
An integrated intelligent technique for monthly rainfall time series prediction. FUZZ-IEEE 2014: 1632-1639 - 2013
- [j57]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man:
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. IEEE Comp. Int. Mag. 8(3): 54-63 (2013) - [j56]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evolutionary Computation 21(2): 313-340 (2013) - [j55]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intelligent Systems 28(6): 30-59 (2013) - [j54]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 5(1): 1-2 (2013) - [j53]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 5(2): 81-82 (2013) - [j52]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Computing 5(3): 163-164 (2013) - [j51]Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo:
Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Computing and Applications 22(3-4): 469-477 (2013) - [j50]