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ORCIDAbhishek Gupta 0001
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2014): University of Auckland, New Zealand
Other persons with the same name
- Abhishek Gupta — disambiguation page
- Abhishek Gupta 0002
![[0000-0003-1117-325X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1117-325X")
— Ohio State University, Columbus, OH, USA (and 1 more) - Abhishek Gupta 0003 — University of California Davis, CA, USA
- Abhishek Gupta 0004 — University of Washington, Department of Computer Science, Seattle, WA, USA (and 1 more)
- Abhishek Gupta 0005 — Shri Mata Vaishno Devi University, Katra, India (and 3 more)
- Abhishek Gupta 0006 — Indian Institute of Technology Bombay, Department of Mechanical Engineering, Mumbai, India
- Abhishek Gupta 0007 — Toronto Metropolitan University, Canada
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2020 – today
- 2024
[j47]Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong:
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132: 107887 (2024)- [j46]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5(3): 985-1000 (2024) - [j45]Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong:
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. 54(2): 1294-1307 (2024) - [c24]Tingyang Wei, Jiao Liu, Abhishek Gupta, Puay Siew Tan, Yew-Soon Ong:
Bayesian Forward-Inverse Transfer for Multiobjective Optimization. PPSN (4) 2024: 135-152 - [i21]Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang:
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. CoRR abs/2401.00168 (2024) - [i20]Lu Bai, Abhishek Gupta, Yew-Soon Ong:
Multi-Task Learning with Multi-Task Optimization. CoRR abs/2403.16162 (2024) - [i19]Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong:
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR abs/2404.13377 (2024) - 2023
- [j44]Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim:
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18(3): 29-40 (2023) - [j43]Edward Kien Yee Yapp, Abhishek Gupta, Xiang Li:
A layer-wise neural network for multi-item single-output quality estimation. J. Intell. Manuf. 34(7): 3131-3141 (2023) - [j42]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. 15(3): 1474-1486 (2023) - [j41]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53(10): 6160-6172 (2023) - [j40]Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun:
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6146-6157 (2023) - [c23]Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion 2023: 2144-2151 - [i18]Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen:
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR abs/2305.16347 (2023) - [i17]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - [i16]Jiao Liu, Abhishek Gupta, Yew-Soon Ong:
Inverse Transfer Multiobjective Optimization. CoRR abs/2312.14713 (2023) - 2022
- [j39]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. 17(2): 49-66 (2022) - [j38]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta:
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52(8): 7577-7590 (2022) - [j37]Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong:
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52(8): 8561-8573 (2022) - [j36]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. 26(1): 130-144 (2022) - [j35]Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26(2): 202-205 (2022) - [j34]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [c22]Ray Lim, Abhishek Gupta, Yew-Soon Ong:
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC 2022: 1-9 - [c21]Chin Sheng Tan, Abhishek Gupta, Chi Xu:
Are Two Heads Always Better Than One? Human-AI Complementarity in Multi-criteria Order Planning. IEEM 2022: 939-943 - [c20]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c19]Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong:
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI 2022: 1669-1674 - [i15]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR abs/2203.10844 (2022) - [i14]Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim:
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR abs/2205.00671 (2022) - [i13]Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR abs/2212.07624 (2022) - 2021
- [j33]Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang:
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9: 41844-41860 (2021) - [j32]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16(2): 14-30 (2021) - [j31]Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - [j30]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j29]Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong:
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. 18(4): 1754-1765 (2021) - [j28]Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan:
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. 51(4): 1784-1796 (2021) - [j27]Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan:
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem. IEEE Trans. Cybern. 51(6): 3143-3156 (2021) - [j26]Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin:
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking. IEEE Trans. Cybern. 51(6): 3171-3184 (2021) - [j25]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25(3): 567-581 (2021) - [i12]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR abs/2101.01998 (2021) - [i11]Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR abs/2109.09338 (2021) - [i10]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking and More. CoRR abs/2109.13101 (2021) - 2020
- [j24]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
Multi-task gradient descent for multi-task learning. Memetic Comput. 12(4): 355-369 (2020) - [j23]Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan:
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Trans. Evol. Comput. 24(1): 69-83 (2020) - [c18]Mingyang Sun, Yaqing Hou, Qiang Zhang, Hong-Wei Ge, Xin Yang, Feng Liang, Abhishek Gupta, Xianneng Li:
Memetic Multi-agent optimization with Problem Reformulation by Coordinate Rotation. CEC 2020: 1-7 - [i9]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun:
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR abs/2008.06199 (2020) - [i8]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. CoRR abs/2012.01830 (2020)
2010 – 2019
- 2019
- [j22]Abhishek Gupta, Yew-Soon Ong:
Back to the Roots: Multi-X Evolutionary Computation. Cogn. Comput. 11(1): 1-17 (2019) - [j21]Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu:
Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. 165: 208-218 (2019) - [j20]Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. Memetic Comput. 11(1): 3-17 (2019) - [j19]Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang:
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. IEEE Trans. Cybern. 49(5): 1708-1721 (2019) - [j18]Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j17]Bingshui Da, Abhishek Gupta, Yew-Soon Ong:
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. IEEE Trans. Cybern. 49(12): 4365-4378 (2019) - [j16]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) - [j15]Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang:
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. 23(4): 556-571 (2019) - [j14]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 411-415 (2019) - [c17]Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang:
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData 2019: 3896-3902 - [c16]Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. IEEE BigData 2019: 3925-3932 - [c15]Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta:
Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. CEC 2019: 135-141 - [c14]Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu:
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. CEC 2019: 2153-2159 - [c13]Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? GECCO (Companion) 2019: 318-319 - [i7]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - [i6]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR abs/1911.07693 (2019) - 2018
- [j13]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) - [j12]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) - [j11]Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. 22(2): 189-210 (2018) - [j10]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 51-64 (2018) - [j9]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1191-1210 (2018) - [i5]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. CoRR abs/1812.11509 (2018) - 2017
- [j8]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) - [j7]Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni:
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. Artif. Intell. 64: 13-24 (2017) - [j6]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) - [j5]Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan:
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. 47(7): 1652-1665 (2017) - [j4]Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta:
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evol. Comput. 21(5): 760-772 (2017) - [c12]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan:
Solving dynamic vehicle routing problem via evolutionary search with learning capability. CEC 2017: 890-896 - [c11]Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. CEC 2017: 1295-1302 - [p1]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 - [e1]Slim Bechikh, Rituparna Datta, Abhishek Gupta:
Recent Advances in Evolutionary Multi-objective Optimization. Adaptation, Learning, and Optimization 20, Springer 2017, ISBN 978-3-319-42977-9 [contents] - [i4]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai 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) - [i3]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai 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) - [i2]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
- [j3]Yew-Soon Ong, Abhishek Gupta:
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cogn. Comput. 8(2): 125-142 (2016) - [j2]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) - [j1]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evol. Comput. 20(3): 343-357 (2016) - [c10]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI 2016: 54-65 - [c9]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 - [c8]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 - [c7]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 - [c6]Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko:
Landscape synergy in evolutionary multitasking. CEC 2016: 3076-3083 - [c5]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 - [c4]Abhishek Gupta, Yew-Soon Ong:
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI 2016: 1-7 - [i1]Abhishek Gupta, Yew-Soon Ong:
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR abs/1607.05390 (2016) - 2015
- [c3]Abhishek Gupta, Yew-Soon Ong:
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC 2015: 1636-1642 - [c2]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 - 2013
- [c1]Abhishek Gupta, Piaras A. Kelly, Matthias Ehrgott, Simon Bickerton:
Applying Bi-level Multi-Objective Evolutionary Algorithms for Optimizing Composites Manufacturing Processes. EMO 2013: 615-627
Coauthor Index
Yew-Soon Ong
aka: Yew Soon Ong
aka: Yew Soon Ong
[j47] [j46] [j45] [c24] [i20] [i19] [j44] [j42] [j41] [j40] [c23] [i18] [i17] [i16] [j39] [j38] [j37] [j36] [j35] [j34] [c22] [c20] [c19] [i15] [i14] [i13] [j33] [j32] [j31] [j30] [j29] [j28] [j25] [i12] [i11] [i10] [j24] [j23] [i9] [i8] [j22] [j21] [j20] [j19] [j18] [j17] [j16] [j15] [j14] [c17] [c16] [c13] [i7] [i6] [j13] [j12] [j11] [j10] [j9] [i5] [j8] [j7] [j6] [j5] [j4] [c12] [c11] [p1] [i4] [i3] [i2] [j3] [j2] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [i1] [c3] [c2]
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