Abhishek Gupta

109 papers A* 2A 1B 12C 1Journal 77Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities.
IEEE Comput. Intell. Mag.
Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2026 J jnl
Out-of-Distribution Generalization for Neural Physics Solvers.
CoRR
Zhao Wei, Chin Chun Ooi, Jian Cheng Wong, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2025 J jnl
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CoRR
Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2025 A conf
Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability.
GECCO
Adam Zychowski, Abhishek Gupta, Yew Soon Ong, Jacek Mandziuk
2025 J jnl
Evolutionary Computation as Natural Generative AI.
CoRR
Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025 A* conf
Evolvable Conditional Diffusion.
IJCAI
Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025 J jnl
Evolvable Conditional Diffusion.
CoRR
Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025 J jnl
ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence.
IEEE Trans. Evol. Comput.
Jiao Liu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2025 — conf
Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.
GECCO Companion
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2025 J jnl
Parametric Expensive Multi-Objective Optimization via Generative Solution Modeling.
CoRR
Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan, Yew-Soon Ong
2025 J jnl
Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects.
CoRR
Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2024 — conf
Bayesian Forward-Inverse Transfer for Multiobjective Optimization.
PPSN (4)
Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong
2024 J jnl
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization.
ACM Trans. Evol. Learn. Optim.
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2024 J jnl
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization.
CoRR
Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
2024 J jnl
Fourier warm start for physics-informed neural networks.
Eng. Appl. Artif. Intell.
Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong
2024 — conf
Inverse Multiobjective Optimization by Generative Model Prompting.
CAI
Jiao Liu, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
2024 J jnl
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.
IEEE Trans. Artif. Intell.
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
2024 J jnl
Multi-Task Learning with Multi-Task Optimization.
CoRR
Lu Bai, Abhishek Gupta, Yew-Soon Ong
2024 J jnl
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality.
CoRR
Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang
2024 — conf
Neuroevolving monotonic PINNs for particle breakage analysis.
CAI
Abhishek Gupta, B. K. Mishra
2024 J jnl
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach.
IEEE Trans. Cybern.
Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong
2023 J jnl
A layer-wise neural network for multi-item single-output quality estimation.
J. Intell. Manuf.
Edward Kien Yee Yapp, Abhishek Gupta, Xiang Li
2023 J jnl
Adversary Agnostic Robust Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
2023 J jnl
Generalizable Neural Physics Solvers by Baldwinian Evolution.
CoRR
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
2023 J jnl
Inverse Transfer Multiobjective Optimization.
CoRR
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
2023 J jnl
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models.
IEEE Comput. Intell. Mag.
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim
2023 J jnl
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes.
IEEE Trans. Cogn. Dev. Syst.
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2023 — conf
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.
GECCO Companion
Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2023 — conf
Prompt Evolution for Generative AI: A Classifier-Guided Approach.
CAI
Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
2023 J jnl
Prompt Evolution for Generative AI: A Classifier-Guided Approach.
CoRR
Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
2023 J jnl
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances.
IEEE Trans. Cybern.
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
2022 B conf
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors.
CEC
Ray Lim, Abhishek Gupta, Yew-Soon Ong
2022 — conf
Are Two Heads Always Better Than One? Human-AI Complementarity in Multi-criteria Order Planning.
IEEM
Chin Sheng Tan, Abhishek Gupta, Chi Xu
2022 J jnl
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection.
IEEE Trans. Evol. Comput.
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2022 J jnl
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies.
IEEE Trans. Cybern.
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
2022 J jnl
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence.
IEEE Trans. Cybern.
Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
2022 J jnl
Guest Editorial Special Issue on Multitask Evolutionary Computation.
IEEE Trans. Evol. Comput.
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
2022 J jnl
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More.
IEEE Comput. Intell. Mag.
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
2022 A* conf
Importance Prioritized Policy Distillation.
KDD
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
2022 J jnl
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results.
CoRR
Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2022 J jnl
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models.
CoRR
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim
2022 J jnl
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling.
CoRR
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
2022 — conf
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates.
SSCI
Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
2022 J jnl
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst.
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
2021 J jnl
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
IEEE Comput. Intell. Mag.
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Can Transfer Neuroevolution Tractably Solve Your Differential Equations?
CoRR
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II.
IEEE Trans. Cybern.
Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan
2021 J jnl
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern.
Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
2021 J jnl
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity.
IEEE Trans Autom. Sci. Eng.
Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Half a Dozen Real-World Applications of Evolutionary Multitasking and More.
CoRR
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
2021 J jnl
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.
IEEE Trans. Evol. Comput.
Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks.
CoRR
Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.
IEEE Trans. Cogn. Dev. Syst.
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei
2021 J jnl
Non-linear Domain Adaptation in Transfer Evolutionary Optimization.
Cogn. Comput.
Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang
2021 J jnl
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization.
IEEE Access
Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang
2021 J jnl
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern.
Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin
2020 J jnl
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.
CoRR
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun
2020 B conf
Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation.
CEC
Mingyang Sun, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li
2020 J jnl
Multi-task gradient descent for multi-task learning.
Memetic Comput.
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2020 J jnl
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II.
IEEE Trans. Evol. Comput.
Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan
2020 J jnl
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances.
CoRR
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
2019 J jnl
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries.
IEEE Trans. Evol. Comput.
Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang
2019 J jnl
A Multi-Task Gradient Descent Method for Multi-Label Learning.
CoRR
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2019 B conf
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.
CEC
Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu
2019 J jnl
AIR
IEEE Trans. Emerg. Top. Comput. Intell.
Yew-Soon Ong, Abhishek Gupta
2019 J jnl
Back to the Roots: Multi-X Evolutionary Computation.
Cogn. Comput.
Abhishek Gupta, Yew-Soon Ong
2019 — conf
Can route planning be smarter with transfer optimization?
GECCO (Companion)
Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang
2019 J jnl
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.
Memetic Comput.
Liang Feng, Abhishek Gupta, Yew-Soon Ong
2019 — conf
Coping with Big Data in Transfer Optimization.
IEEE BigData
Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng
2019 J jnl
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization.
IEEE Trans. Cybern.
Bingshui Da, Abhishek Gupta, Yew-Soon Ong
2019 J jnl
Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern.
Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, A. K. Qin
2019 J jnl
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates.
IEEE Trans. Cybern.
Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang
2019 J jnl
Fast transfer Gaussian process regression with large-scale sources.
Knowl. Based Syst.
Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu
2019 B conf
Memetic Multi-agent Optimization in High Dimensions using Random Embeddings.
CEC
Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta
2019 J jnl
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.
CoRR
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta
2019 J jnl
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.
IEEE Trans. Evol. Comput.
Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh
2019 — conf
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight.
IEEE BigData
Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang
2018 J jnl
A New Decomposition-Based NSGA-II for Many-Objective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong
2018 J jnl
AIR5: Five Pillars of Artificial Intelligence Research.
CoRR
Yew-Soon Ong, Abhishek Gupta
2018 J jnl
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution.
Knowl. Based Syst.
Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
2018 J jnl
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.
Neural Process. Lett.
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh
2018 J jnl
Insights on Transfer Optimization: Because Experience is the Best Teacher.
IEEE Trans. Emerg. Top. Comput. Intell.
Abhishek Gupta, Yew-Soon Ong, Liang Feng
2018 J jnl
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis.
IEEE Trans. Evol. Comput.
Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu
2017 J jnl
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems.
Expert Syst. Appl.
Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang
2017 J jnl
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution.
CoRR
Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong
2017 J jnl
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.
IEEE Trans. Evol. Comput.
Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta
2017 J jnl
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design.
Eng. Appl. Artif. Intell.
Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni
2017 J jnl
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR
Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017 J jnl
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR
Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
2017 J jnl
Knowledge Transfer Through Machine Learning in Aircraft Design.
IEEE Comput. Intell. Mag.
Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
2017 B conf
Linearized domain adaptation in evolutionary multitasking.
CEC
Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan
2017 J jnl
Multiobjective Multifactorial Optimization in Evolutionary Multitasking.
IEEE Trans. Cybern.
Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan
2017 — ch.
On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking.
Recent Advances in Evolutionary Multi-objective Optimization
Abhishek Gupta, Bingshui Da, Yuan Yuan, Yew-Soon Ong
2017 — book
Recent Advances in Evolutionary Multi-objective Optimization
Slim Bechikh, Rituparna Datta, Abhishek Gupta
2017 B conf
Solving dynamic vehicle routing problem via evolutionary search with learning capability.
CEC
Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan
2016 B conf
Application of route flexibility in data-starved vehicle routing problem with time windows.
CEC
Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong
2016 — conf
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.
ICONIP (2)
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
2016 J jnl
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking.
Cogn. Comput.
Yew-Soon Ong, Abhishek Gupta
2016 B conf
Evolutionary multitasking across single and multi-objective formulations for improved problem solving.
CEC
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 J jnl
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization.
CoRR
Abhishek Gupta, Yew-Soon Ong
2016 — conf
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization.
SSCI
Abhishek Gupta, Yew-Soon Ong
2016 B conf
Landscape synergy in evolutionary multitasking.
CEC
Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko
2016 J jnl
Multifactorial Evolution: Toward Evolutionary Multitasking.
IEEE Trans. Evol. Comput.
Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 B conf
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.
CEC
Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh
2016 — conf
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.
ACALCI
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 J jnl
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization.
Evol. Intell.
Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta
2015 B conf
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs.
CEC
Abhishek Gupta, Yew-Soon Ong
2015 B conf
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming.
CEC
Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan
2013 C conf
Applying Bi-level Multi-Objective Evolutionary Algorithms for Optimizing Composites Manufacturing Processes.
EMO
Abhishek Gupta, Piaras A. Kelly, Matthias Ehrgott, Simon Bickerton