Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDChi Keong Goh
Chi-Keong Goh
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2009
[b1]Chi Keong Goh, Kay Chen Tan:
Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms. Studies in Computational Intelligence 186, Springer 2009, ISBN 978-3-540-95975-5, pp. 1-251 [contents]
Journal Articles
- 2020
- [j35]Calvin Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Senthil Kumar Selvaraj, Yi Su, Chi-Keong Goh
, Alejandro Moreno, Shahrokh Shahpar:
Towards Automatic Blocking of Shapes using Evolutionary Algorithm. Comput. Aided Des. 120: 102798 (2020) - 2019
- [j34]Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh:
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 15-28 (2019) - [j33]Pengfei Wei, Yiping Ke, Chi Keong Goh:
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(8): 1440-1451 (2019) - [j32]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1321-1334 (2019) - [j31]Yan Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Hock Soon Seah:
PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data. Vis. Comput. 35(11): 1567-1582 (2019) - 2018
- [j30]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) - [j29]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh:
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47(3): 993-1009 (2018) - [j28]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. 2(3): 204-213 (2018) - 2017
- [j27]Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan:
Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines. IEEE Access 5: 25055-25068 (2017) - [j26]Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12(4): 48-60 (2017) - [j25]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) - [j24]Pin Lim, Chi Keong Goh, Kay Chen Tan:
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. 47(9): 2850-2861 (2017) - [j23]Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta:
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. 28(1): 136-148 (2017) - 2016
- [j22]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. Evol. Intell. 9(4): 203-220 (2016) - 2012
- [j21]Chi Keong Goh, Ferrante Neri:
Computational intelligence optimisation in the presence of uncertainties. Int. J. Syst. Sci. 43(7): 1191-1192 (2012) - [j20]Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan:
A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. 43(7): 1217-1247 (2012) - 2011
- [j19]Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim:
Memetic informed evolutionary optimization via data mining. Memetic Comput. 3(2): 73-87 (2011) - 2010
- [j18]Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam:
A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202(1): 42-54 (2010) - [j17]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010) - [j16]Wee Tat Koo, Chi Keong Goh, Kay Chen Tan:
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. 2(2): 87-110 (2010) - 2009
- [j15]Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh:
Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. 197(2): 701-713 (2009) - [j14]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13(8-9): 833-846 (2009) - [j13]Chi Keong Goh, Kay Chen Tan:
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 13(1): 103-127 (2009) - [j12]Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass:
Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. 13(2): 303-320 (2009) - 2008
- [j11]Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei:
An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187(2): 371-392 (2008) - [j10]D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho:
On solving multiobjective bin packing problems using evolutionary particle swarm optimization. Eur. J. Oper. Res. 190(2): 357-382 (2008) - [j9]Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh:
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71(7-9): 1359-1372 (2008) - [j8]Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19(9): 1531-1548 (2008) - [j7]Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun:
Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B 38(3): 808-825 (2008) - 2007
- [j6]Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh:
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. 177(2): 813-839 (2007) - [j5]Chi Keong Goh, Kay Chen Tan:
An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 11(3): 354-381 (2007) - [j4]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B 37(1): 42-50 (2007) - 2006
- [j3]Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee:
Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. 171(2): 463-495 (2006) - [j2]Kay Chen Tan, Y. J. Yang, Chi Keong Goh:
A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. 10(5): 527-549 (2006) - 2005
- [j1]Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh:
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. 23(1): 31-33 (2005)
Conference and Workshop Papers
- 2018
- [c33]Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh:
A Constrained Deep Neural Network for Ordinal Regression. CVPR 2018: 831-839 - [c32]Zhao Xu, Jinwen Hu, Changhua Hu, Sivakumar Nadarajan, Chi-Keong Goh, Amit Gupta:
Data-Driven Fault Detection of Electrical Machine. ICARCV 2018: 515-520 - [c31]Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar:
Automatic Blocking of Shapes Using Evolutionary Algorithm. IMR 2018: 169-188 - 2017
- [c30]Yan-Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Xuan Wang, Hock Soon Seah:
Histogram equalization and specification for high-dimensional data visualization using RadViz. CGI 2017: 15:1-15:6 - [c29]Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM 2017: 1027-1032 - [c28]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 - [c27]Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh:
Deep Ordinal Regression Based on Data Relationship for Small Datasets. IJCAI 2017: 2372-2378 - [c26]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh, Liang-Tien Chia, Hiok Chai Quek:
A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. MVA 2017: 13-16 - 2016
- [c25]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 - [c24]Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh:
Exploiting sparsity for image-based object surface anomaly detection. ICASSP 2016: 1986-1990 - [c23]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 - [c22]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI 2016: 2189-2195 - [c21]Pin Lim, Chi Keong Goh, Kay Chen Tan:
A time window neural network based framework for Remaining Useful Life estimation. IJCNN 2016: 1746-1753 - [c20]Yanzhu Liu, Xiaojie Li, Adams Wai-Kin Kong, Chi Keong Goh:
Learning from small data: A pairwise approach for ordinal regression. SSCI 2016: 1-6 - 2015
- [c19]Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang:
An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. AAMAS 2015: 1759-1760 - 2014
- [c18]Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry Novianus Palit, Xiaorong Li, Chi Keong Goh, Partha Sarathi Dutta, Leigh Lapworth, David Knott:
An Efficient Co-processing Framework for Large-Scale Scientific Applications. CloudCom 2014: 254-261 - 2011
- [c17]Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation 2011: 744-749 - 2008
- [c16]Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh:
Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901 - [c15]Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh:
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746 - [c14]Kay Chen Tan, Chi Keong Goh:
Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI 2008: 262-292 - 2007
- [c13]Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC 2007: 255-260 - [c12]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575 - [c11]Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun:
Multi-objective evolutionary Recurrent Neural Networks for system identification. IEEE Congress on Evolutionary Computation 2007: 1586-1592 - [c10]C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay:
A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation 2007: 3180-3186 - [c9]Hanyang Quek, Chi Keong Goh:
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. CIG 2007: 40-47 - [c8]Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO 2007: 893-907 - [c7]Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh:
Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI 2007: 251-258 - 2006
- [c6]Chi Keong Goh, Kay Chen Tan:
Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation 2006: 1354-1361 - [c5]Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass:
Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation 2006: 1624-1631 - [c4]Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho:
On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 2095-2102 - 2005
- [c3]Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation 2005: 1290-1297 - [c2]Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan:
Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation 2005: 2629-2636 - 2003
- [c1]Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee:
Enhanced distribution and exploration for multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2003: 2521-2528
Parts in Books or Collections
- 2007
- [p3]Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan:
Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. Advances in Evolutionary Computing for System Design 2007: 189-209 - [p2]Chi Keong Goh, Wei Ling Lim, Yong Han Chew, Kay Chen Tan:
A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. Evolutionary Scheduling 2007: 405-436 - [p1]Chi Keong Goh, Kay Chen Tan:
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 457-478
Editorship
- 2010
- [e1]Cecilia Di Chio, Stefano Cagnoni, Carlos Cotta, Marc Ebner, Anikó Ekárt, Anna Esparcia-Alcázar, Chi Keong Goh, Juan Julián Merelo Guervós, Ferrante Neri, Mike Preuss, Julian Togelius, Georgios N. Yannakakis:
Applications of Evolutionary Computation, EvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6024, Springer 2010, ISBN 978-3-642-12238-5 [contents]
Informal and Other Publications
- 2017
- [i1]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR abs/1703.01887 (2017)
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-05-08 23:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
