Applying Bi-level Multi-Objective Evolutionary Algorithms for Optimizing Composites Manufacturing Processes. - Abhishek Gupta 001; Piaras A. Kelly; Matthias Ehrgott; Simon Bickerton (EMO, 2013)

An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. - Abhishek Gupta 001; Yew-Soon Ong (CEC, 2015)

Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. - Stephanus Daniel Handoko; Hoong Chuin Lau; Abhishek Gupta 001; Yew-Soon Ong; Chen Kim Heng; Puay Siew Tan (CEC, 2015)

The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. - Bingshui Da; Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001 (ACALCI, 2016)

Evolutionary multitasking across single and multi-objective formulations for improved problem solving. - Bingshui Da; Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001 (CEC, 2016)

Landscape synergy in evolutionary multitasking. - Abhishek Gupta 001; Yew-Soon Ong; Bingshui Da; Liang Feng 001; Stephanus Daniel Handoko (CEC, 2016)

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)

Application of route flexibility in data-starved vehicle routing problem with time windows. - Chen Kim Heng; Quoc Chinh Nguyen; Siwei Jiang; Puay Siew Tan; Abhishek Gupta 001; Bingshui Da; Yew-Soon Ong (CEC, 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)

Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. - Abhishek Gupta 001; Yew-Soon Ong (SSCI, 2016)

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. - Yew-Soon Ong; Abhishek Gupta 001 (Cogn. Comput., 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)

Multifactorial Evolution: Toward Evolutionary Multitasking. - Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001 (IEEE Trans. Evol. Comput., 2016)

On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking. - Abhishek Gupta 001; Bingshui Da; Yuan Yuan 004; Yew-Soon Ong (Recent Advances in Evolutionary Multi-objective Optimization, 2017)

Linearized domain adaptation in evolutionary multitasking. - Kavitesh Kumar Bali; Abhishek Gupta 001; Liang Feng 001; Yew-Soon Ong; Puay Siew Tan (CEC, 2017)

Solving dynamic vehicle routing problem via evolutionary search with learning capability. - Lei Zhou 020; Liang Feng 001; Abhishek Gupta 001; Yew-Soon Ong; K. Liu; C. Chen; Edwin Hsing-Mean Sha; B. Yang; B. W. Yan (CEC, 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)

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. - Bingshui Da; Yew-Soon Ong; Liang Feng 001; A. Kai Qin; Abhishek Gupta 001; Zexuan Zhu; Chuan-Kang Ting; Ke Tang 001; Xin Yao 001 (CoRR, 2017)

Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. - Yuan Yuan 004; Yew-Soon Ong; Liang Feng 001; A. Kai Qin; Abhishek Gupta 001; Bingshui Da; Qingfu Zhang 001; Kay Chen Tan; Yaochu Jin; Hisao Ishibuchi (CoRR, 2017)

Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. - Meiying Cheng; Abhishek Gupta 001; Yew-Soon Ong; Zhiwei Ni (Eng. Appl. Artif. Intell., 2017)

A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. - Abhishek Gupta 001; Chen Kim Heng; Yew-Soon Ong; Puay Siew Tan; Allan N. Zhang (Expert Syst. Appl., 2017)

Multiobjective Multifactorial Optimization in Evolutionary Multitasking. - Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001; Kay Chen Tan (IEEE Trans. Cybern., 2017)

Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. - Liang Feng 001; Yew-Soon Ong; Siwei Jiang; Abhishek Gupta 001 (IEEE Trans. Evol. Comput., 2017)

AIR5: Five Pillars of Artificial Intelligence Research. - Yew-Soon Ong; Abhishek Gupta 001 (CoRR, 2018)

Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. - Adam Zychowski; Abhishek Gupta 001; Jacek Mandziuk; Yew-Soon Ong (Knowl. Based Syst., 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)

Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. - Yuan Yuan 004; Yew-Soon Ong; Abhishek Gupta 001; Hua Xu 003 (IEEE Trans. Evol. Comput., 2018)

Insights on Transfer Optimization: Because Experience is the Best Teacher. - Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

A New Decomposition-Based NSGA-II for Many-Objective Optimization. - Maha Elarbi; Slim Bechikh; Abhishek Gupta 001; Lamjed Ben Said; Yew-Soon Ong (IEEE Trans. Syst. Man Cybern. Syst., 2018)

The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. - Abhishek Gupta 001; Yew-Soon Ong; Mojtaba Shakeri; Xu Chi; Allan NengSheng Zhang (IEEE BigData, 2019)

Coping with Big Data in Transfer Optimization. - Mojtaba Shakeri; Abhishek Gupta 001; Yew-Soon Ong; Xu Chi; Allan Zhang NengSheng (IEEE BigData, 2019)

Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. - Yaqing Hou; N. Jiang; Hongwei Ge; Qiang Zhang 008; Xinghua Qu; L. Feng; Abhishek Gupta 001 (CEC, 2019)

A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. - Qingxia Shang; L. Zhang; Liang Feng 001; Yaqing Hou; J. Zhong; Abhishek Gupta 001; Kay Chen Tan; H.-L. Liu (CEC, 2019)

Can route planning be smarter with transfer optimization? - Ray Lim; Yew-Soon Ong; Phan Thi Hong Hanh; Abhishek Gupta 001; Nengsheng Allan Zhang (GECCO (Companion), 2019)

Back to the Roots: Multi-X Evolutionary Computation. - Abhishek Gupta 001; Yew-Soon Ong (Cogn. Comput., 2019)

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Pengfei Wei 001; Abhishek Gupta 001 (CoRR, 2019)

A Multi-Task Gradient Descent Method for Multi-Label Learning. - Lu Bai 005; Yew-Soon Ong; Tiantian He 001; Abhishek Gupta 001 (CoRR, 2019)

Fast transfer Gaussian process regression with large-scale sources. - Bingshui Da; Yew-Soon Ong; Abhishek Gupta 001; Liang Feng 001; Haitao Liu 002 (Knowl. Based Syst., 2019)

Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. - Liang Feng 001; Abhishek Gupta 001; Yew-Soon Ong (Memetic Comput., 2019)

Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. - Bingshui Da; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Cybern., 2019)

Evolutionary Multitasking via Explicit Autoencoding. - Liang Feng 001; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Yew-Soon Ong; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2019)

Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. - Jianping Luo; Abhishek Gupta 001; Yew-Soon Ong; Zhenkun Wang 001 (IEEE Trans. Cybern., 2019)

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 Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. - Zhenkun Wang 001; Yew-Soon Ong; Jianyong Sun; Abhishek Gupta 001; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2019)

AIR5: Five Pillars of Artificial Intelligence Research. - Yew-Soon Ong; Abhishek Gupta 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. - Mingyang Sun; Yaqing Hou; Qiang Zhang 008; Hong-Wei Ge; Xin Yang 011; Feng Liang; Abhishek Gupta 001; Xianneng Li (CEC, 2020)

Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. - Xinghua Qu; Yew-Soon Ong; Abhishek Gupta 001; Zhu Sun 001 (CoRR, 2020)

Multi-task gradient descent for multi-task learning. - Lu Bai 005; Yew-Soon Ong; Tiantian He 001; Abhishek Gupta 001 (Memetic Comput., 2020)

Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. - Kavitesh Kumar Bali; Yew-Soon Ong; Abhishek Gupta 001; Puay Siew Tan (IEEE Trans. Evol. Comput., 2020)

Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. - Ray Lim; Lei Zhou 020; Abhishek Gupta 001; Yew-Soon Ong; Allan N. Zhang (IEEE Access, 2021)

Can Transfer Neuroevolution Tractably Solve Your Differential Equations? - Jian Cheng Wong; Abhishek Gupta 001; Yew-Soon Ong (IEEE Comput. Intell. Mag., 2021)

Non-linear Domain Adaptation in Transfer Evolutionary Optimization. - Ray Lim; Abhishek Gupta 001; Yew-Soon Ong; Liang Feng 001; Allan N. Zhang (Cogn. Comput., 2021)

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Abhishek Gupta 001; Pengfei Wei 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. - Alan Tan Wei Min; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans Autom. Sci. Eng., 2021)

Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. - Kavitesh Kumar Bali; Abhishek Gupta 001; Yew-Soon Ong; Puay Siew Tan (IEEE Trans. Cybern., 2021)

Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. - Liang Feng 001; Yuxiao Huang; Lei Zhou 020; Jinghui Zhong; Abhishek Gupta 001; Ke Tang 001; Kay Chen Tan (IEEE Trans. Cybern., 2021)

Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. - Liang Feng 001; Lei Zhou 020; Abhishek Gupta 001; Jinghui Zhong; Zexuan Zhu; Kay Chen Tan; Alex Kai Qin (IEEE Trans. Cybern., 2021)

Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. - Lei Zhou 020; Liang Feng 001; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Evol. Comput., 2021)

An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. - Ray Lim; Abhishek Gupta 001; Yew-Soon Ong (CEC, 2022)

Are Two Heads Always Better Than One? Human-AI Complementarity in Multi-criteria Order Planning. - Chin Sheng Tan; Abhishek Gupta 001; Chi Xu (IEEM, 2022)

Importance Prioritized Policy Distillation. - Xinghua Qu; Yew Soon Ong; Abhishek Gupta 001; Pengfei Wei 001; Zhu Sun 001; Zejun Ma (KDD, 2022)

Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. - Abhishek Gupta 001; Ray Lim; Chin Chun Ooi; Yew-Soon Ong (SSCI, 2022)

Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. - Abhishek Gupta 001; Lei Zhou 020; Yew-Soon Ong; Zefeng Chen; Yaqing Hou (IEEE Comput. Intell. Mag., 2022)

Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. - Nick Zhang; Abhishek Gupta 001; Zefeng Chen; Yew-Soon Ong (CoRR, 2022)

Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. - Han Xiang Choong; Yew-Soon Ong; Abhishek Gupta 001; Ray Lim (CoRR, 2022)

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. - Nicholas Wei Yong Sung; Jian Cheng Wong; Pao-Hsiung Chiu; Abhishek Gupta 001; Chinchun Ooi; Yew-Soon Ong (CoRR, 2022)

From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. - Lu Bai 005; Wu Lin; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Cybern., 2022)

Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. - Xinghua Qu; Yew-Soon Ong; Abhishek Gupta 001 (IEEE Trans. Cybern., 2022)

Guest Editorial Special Issue on Multitask Evolutionary Computation. - Abhishek Gupta 001; Yew-Soon Ong; Kenneth A. De Jong; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2022)

Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. - Nick Zhang; Abhishek Gupta 001; Zefeng Chen; Yew-Soon Ong (IEEE Trans. Evol. Comput., 2022)

Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. - Liang Feng 001; Yuxiao Huang; Ivor W. Tsang; Abhishek Gupta 001; Ke Tang 001; Kay Chen Tan; Yew-Soon Ong (IEEE Trans. Intell. Transp. Syst., 2022)

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. - Nicholas Sung; Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Yew-Soon Ong (GECCO Companion, 2023)

Prompt Evolution for Generative AI: A Classifier-Guided Approach. - Melvin Wong; Yew-Soon Ong; Abhishek Gupta 001; Kavitesh Kumar Bali; Caishun Chen (CoRR, 2023)

Generalizable Neural Physics Solvers by Baldwinian Evolution. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Joshua Shao Zheng Low; My Ha Dao; Yew-Soon Ong (CoRR, 2023)

Inverse Transfer Multiobjective Optimization. - Jiao Liu; Abhishek Gupta 001; Yew-Soon Ong (CoRR, 2023)

A layer-wise neural network for multi-item single-output quality estimation. - Edward Kien Yee Yapp; Abhishek Gupta 001; Xiang Li 040 (J. Intell. Manuf., 2023)

Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. - Han Xiang Choong; Yew-Soon Ong; Abhishek Gupta 001; Caishun Chen; Ray Lim (IEEE Comput. Intell. Mag., 2023)

Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. - Nick Zhang; Abhishek Gupta 001; Zefeng Chen; Yew-Soon Ong (IEEE Trans. Cogn. Dev. Syst., 2023)

Adversary Agnostic Robust Deep Reinforcement Learning. - Xinghua Qu; Abhishek Gupta 001; Yew-Soon Ong; Zhu Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. - Mojtaba Shakeri; Erfan Miahi; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Cybern., 2023)

Bayesian Forward-Inverse Transfer for Multiobjective Optimization. - Tingyang Wei; Jiao Liu; Abhishek Gupta 001; Puay Siew Tan; Yew-Soon Ong (PPSN (4), 2024)

Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. - Yaqing Hou; Mingyang Sun; Abhishek Gupta 001; Yaochu Jin; Haiyin Piao; Hongwei Ge; Qiang Zhang 008 (CoRR, 2024)

Multi-Task Learning with Multi-Task Optimization. - Lu Bai 005; Abhishek Gupta 001; Yew-Soon Ong (CoRR, 2024)

Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. - Yaqing Hou; Wenqiang Ma; Abhishek Gupta 001; Kavitesh Kumar Bali; Hongwei Ge; Qiang Zhang 008; Carlos A. Coello Coello; Yew-Soon Ong (CoRR, 2024)

Fourier warm start for physics-informed neural networks. - Ge Jin; Jian Cheng Wong; Abhishek Gupta 001; Shipeng Li; Yew-Soon Ong (Eng. Appl. Artif. Intell., 2024)

Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. - Zefeng Chen; Abhishek Gupta 001; Lei Zhou 020; Yew-Soon Ong (IEEE Trans. Cybern., 2024)

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Artif. Intell., 2024)

Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. - Jiao Liu; Abhishek Gupta 001; Yew-Soon Ong (ACM Trans. Evol. Learn. Optim., 2024)

Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability. - Adam Zychowski; Abhishek Gupta 001; Yew Soon Ong; Jacek Mandziuk (GECCO, 2025)

Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. - Jian Cheng Wong; Abhishek Gupta 001; Chin Chun Ooi; Pao-Hsiung Chiu; Jiao Liu; Yew-Soon Ong (CoRR, 2025)

ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence. - Jiao Liu; Abhishek Gupta 001; Chinchun Ooi; Yew-Soon Ong (IEEE Trans. Evol. Comput., 2025)

(θl, θu)-Parametric Multi-Task Optimization: Joint Search in Solution and Infinite Task Spaces. - Tingyang Wei; Jiao Liu; Abhishek Gupta 001; Puay Siew Tan; Yew-Soon Ong (CoRR, 2025)

Evolvable Conditional Diffusion. - Zhao Wei; Chin Chun Ooi; Abhishek Gupta 001; Jian Cheng Wong; Pao-Hsiung Chiu; Sheares Xue Wen Toh; Yew-Soon Ong (CoRR, 2025)