Enhanced distribution and exploration for multiobjective evolutionary algorithms. - Kay Chen Tan; Y. J. Yang; Chi Keong Goh; Tong Heng Lee (IEEE Congress on Evolutionary Computation, 2003)

Evolution and incremental learning in the iterative prisoner's dilemma. - Chi Keong Goh; Hanyang Quek; Eu Jin Teoh; Kay Chen Tan (Congress on Evolutionary Computation, 2005)

Adapting evolutionary dynamics of variation for multi-objective optimization. - Eu Jin Teoh; Swee Chiang Chiam; Chi Keong Goh; Kay Chen Tan (Congress on Evolutionary Computation, 2005)

A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. - Eik Fun Khor; Kay Chen Tan; Tong Heng Lee; Chi Keong Goh (Artif. Intell. Rev., 2005)

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. - Chi Keong Goh; Hanyang Quek; Kay Chen Tan; Hussein A. Abbass (IEEE Congress on Evolutionary Computation, 2006)

Noise Handling in Evolutionary Multi-Objective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Congress on Evolutionary Computation, 2006)

On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. - Dasheng Liu; Kay Chen Tan; Chi Keong Goh; Weng Khuen Ho (IEEE Congress on Evolutionary Computation, 2006)

Evolving better population distribution and exploration in evolutionary multi-objective optimization. - Kay Chen Tan; Chi Keong Goh; Y. J. Yang; Tong Heng Lee (Eur. J. Oper. Res., 2006)

A distributed Cooperative coevolutionary algorithm for multiobjective optimization. - Kay Chen Tan; Y. J. Yang; Chi Keong Goh (IEEE Trans. Evol. Comput., 2006)

A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. - Chi Keong Goh; Kay Chen Tan; Arthur Tay (ISIC, 2007)

Multi-objective evolutionary Recurrent Neural Networks for system identification. - Ji Hua Ang; Chi Keong Goh; Eu Jin Teoh; Abdullah Al Mamun 002 (IEEE Congress on Evolutionary Computation, 2007)

Noise-induced features in robust multi-objective optimization problems. - Chi Keong Goh; Kay Chen Tan; Chun Yew Cheong; Yew-Soon Ong (IEEE Congress on Evolutionary Computation, 2007)

A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. - C. H. Tan; Chi Keong Goh; Kay Chen Tan; Arthur Tay (IEEE Congress on Evolutionary Computation, 2007)

Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. - Hanyang Quek; Chi Keong Goh (CIG, 2007)

Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. - Swee Chiang Chiam; Chi Keong Goh; Kay Chen Tan (EMO, 2007)

Eliminating Positional Dependency in Binary Representation via Redundancy. - Chun Yew Cheong; Swee Chiang Chiam; Chi Keong Goh (FOCI, 2007)

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. - Kay Chen Tan; Chun Yew Cheong; Chi Keong Goh (Eur. J. Oper. Res., 2007)

An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Trans. Evol. Comput., 2007)

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. - Dasheng Liu; Kay Chen Tan; Chi Keong Goh; Weng Khuen Ho (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm. - Ji Hua Ang; Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (Advances in Evolutionary Computing for System Design, 2007)

A Multi-Objective Evolutionary Algorithm for Channel Routing Problems. - Chi Keong Goh; Wei Ling Lim; Yong Han Chew; Kay Chen Tan (Evolutionary Scheduling, 2007)

Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms. - Chi Keong Goh; Kay Chen Tan (Evolutionary Computation in Dynamic and Uncertain Environments, 2007)

An investigation on evolutionary gradient search for multi-objective optimization. - Chi Keong Goh; Yew-Soon Ong; Kay Chen Tan; Eu Jin Teoh (IEEE Congress on Evolutionary Computation, 2008)

Memetic Gradient Search. - Boyang Li 001; Yew-Soon Ong; Minh Nghia Le; Chi Keong Goh (IEEE Congress on Evolutionary Computation, 2008)

Handling Uncertainties in Evolutionary Multi-Objective Optimization. - Kay Chen Tan; Chi Keong Goh (WCCI, 2008)

On solving multiobjective bin packing problems using evolutionary particle swarm optimization. - D. S. Liu; Kay Chen Tan; S. Y. Huang; Chi Keong Goh; Weng Khuen Ho (Eur. J. Oper. Res., 2008)

An evolutionary artificial immune system for multi-objective optimization. - Kay Chen Tan; Chi Keong Goh; Abdullah Al Mamun 002; E. Z. Ei (Eur. J. Oper. Res., 2008)

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. - Eu Jin Teoh; Kay Chen Tan; Huajin Tang; Cheng Xiang 001; Chi Keong Goh (Neurocomputing, 2008)

Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. - Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (IEEE Trans. Neural Networks, 2008)

Improving Locality in Binary Representation via Redundancy. - Swee Chiang Chiam; Kay Chen Tan; Chi Keong Goh; Abdullah Al Mamun 002 (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. - Kay Chen Tan; Swee Chiang Chiam; Abdullah Al Mamun 002; Chi Keong Goh (Eur. J. Oper. Res., 2009)

A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. - Chi Keong Goh; Eu Jin Teoh; Kay Chen Tan (Soft Comput., 2009)

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. - Chi Keong Goh; Kay Chen Tan (IEEE Trans. Evol. Comput., 2009)

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. - Hanyang Quek; Kay Chen Tan; Chi Keong Goh; Hussein A. Abbass (IEEE Trans. Evol. Comput., 2009)

Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms - Chi Keong Goh; Kay Chen Tan (Springer, 2009)

A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. - Chi Keong Goh; Kay Chen Tan; D. S. Liu; Swee Chiang Chiam (Eur. J. Oper. Res., 2010)

An investigation on noise-induced features in robust evolutionary multi-objective optimization. - Chi Keong Goh; Kay Chen Tan; Chun Yew Cheong; Yew-Soon Ong (Expert Syst. Appl., 2010)

A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. - Wee Tat Koo; Chi Keong Goh; Kay Chen Tan (Memetic Comput., 2010)

A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. - Chi Keong Goh; Dudy Lim; Learning Ma; Yew-Soon Ong; Partha Sarathi Dutta (IEEE Congress on Evolutionary Computation, 2011)

Memetic informed evolutionary optimization via data mining. - Jun Yong Chia; Chi Keong Goh; Kay Chen Tan; Vui Ann Shim (Memetic Comput., 2011)

A data mining approach to evolutionary optimisation of noisy multi-objective problems. - Jun Yong Chia; Chi Keong Goh; Vui Ann Shim; Kay Chen Tan (Int. J. Syst. Sci., 2012)

Computational intelligence optimisation in the presence of uncertainties. - Chi Keong Goh; Ferrante Neri (Int. J. Syst. Sci., 2012)

An Efficient Co-processing Framework for Large-Scale Scientific Applications. - Rubing Duan; Rick Siow Mong Goh; Lily Rachmawati; Long Wang 005; Henry Novianus Palit; Xiaorong Li; Chi Keong Goh; Partha Sarathi Dutta; Leigh Lapworth; David Knott (CloudCom, 2014)

An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. - Hui Xi; Chi Keong Goh; Partha Sarathi Dutta; Meng Sha; Jie Zhang 002 (AAMAS, 2015)

Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. - Abhishek Gupta 001; Yew-Soon Ong; Piaras A. Kelly; Chi-Keong Goh (CEC, 2016)

Exploiting sparsity for image-based object surface anomaly detection. - Woon Huei Chai; Shen-Shyang Ho; Chi-Keong Goh (ICASSP, 2016)

Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. - Rohitash Chandra; Abhishek Gupta 001; Yew-Soon Ong; Chi Keong Goh (ICONIP (2), 2016)

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IJCAI, 2016)

A time window neural network based framework for Remaining Useful Life estimation. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IJCNN, 2016)

Learning from small data: A pairwise approach for ordinal regression. - Yanzhu Liu; Xiaojie Li; Adams Wai-Kin Kong; Chi Keong Goh (SSCI, 2016)

Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. - Dudy Lim; Yew-Soon Ong; Abhishek Gupta 001; Chi Keong Goh; Partha Sarathi Dutta (Evol. Intell., 2016)

Histogram equalization and specification for high-dimensional data visualization using RadViz. - Yan-Chao Wang 002; Qian Zhang 065; Feng Lin 002; Chi-Keong Goh; Xuan Wang; Hock Soon Seah (CGI, 2017)

Domain Specific Feature Transfer for Hybrid Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi-Keong Goh (ICDM, 2017)

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong; Chi-Keong Goh (ICML, 2017)

Deep Ordinal Regression Based on Data Relationship for Small Datasets. - Yanzhu Liu; Adams Wai-Kin Kong; Chi Keong Goh (IJCAI, 2017)

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. - Woon Huei Chai; Shen-Shyang Ho; Chi-Keong Goh; Liang-Tien Chia; Hiok Chai Quek (MVA, 2017)

Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines. - Zhao Xu; Changhua Hu; Feng Yang 011; Shyh-Hao Kuo; Chi-Keong Goh; Amit Gupta; Sivakumar Nadarajan (IEEE Access, 2017)

Knowledge Transfer Through Machine Learning in Aircraft Design. - Alan Tan Wei Min; Ramón Sagarna; Abhishek Gupta 001; Yew-Soon Ong; Chi Keong Goh (IEEE Comput. Intell. Mag., 2017)

Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. - Rohitash Chandra; Yew-Soon Ong; Chi-Keong Goh (Neurocomputing, 2017)

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IEEE Trans. Cybern., 2017)

Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. - Pin Lim; Chi Keong Goh; Kay Chen Tan; Partha Sarathi Dutta (IEEE Trans. Neural Networks Learn. Syst., 2017)

A Constrained Deep Neural Network for Ordinal Regression. - Yanzhu Liu; Adams Wai-Kin Kong; Chi Keong Goh (CVPR, 2018)

Data-Driven Fault Detection of Electrical Machine. - Zhao Xu; Jinwen Hu; Changhua Hu; Sivakumar Nadarajan; Chi-Keong Goh; Amit Gupta (ICARCV, 2018)

Automatic Blocking of Shapes Using Evolutionary Algorithm. - Chi-Wan Lim; Xiaofeng Yin; Tianyou Zhang; Yi Su 001; Chi-Keong Goh; Alejandro Moreno; Shahrokh Shahpar (IMR, 2018)

Co-evolutionary multi-task learning for dynamic time series prediction. - Rohitash Chandra; Yew-Soon Ong; Chi-Keong Goh (Appl. Soft Comput., 2018)

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. - Rohitash Chandra; Abhishek Gupta 001; Yew-Soon Ong; Chi-Keong Goh (Neural Process. Lett., 2018)

A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. - Pin Lim; Chi Keong Goh; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. - Alan Tan Wei Min; Yew-Soon Ong; Abhishek Gupta 001; Chi Keong Goh (IEEE Trans. Evol. Comput., 2019)

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IEEE Trans. Knowl. Data Eng., 2019)

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IEEE Trans. Neural Networks Learn. Syst., 2019)

PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data. - Yan Chao Wang 002; Qian Zhang 065; Feng Lin 002; Chi-Keong Goh; Hock Soon Seah (Vis. Comput., 2019)

Towards Automatic Blocking of Shapes using Evolutionary Algorithm. - Calvin Chi-Wan Lim; Xiaofeng Yin; Tianyou Zhang; Senthil Kumar Selvaraj; Yi Su 001; Chi-Keong Goh; Alejandro Moreno; Shahrokh Shahpar (Comput. Aided Des., 2020)