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2020 – today
- 2024
[c2]Gaurav Singh, Kavitesh Kumar Bali:
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective. IJCNN 2024: 1-7- [i3]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) - [i2]Gaurav Singh, Kavitesh Kumar Bali:
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective. CoRR abs/2405.07212 (2024) - 2023
- [i1]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) - 2021
- [b1]Kavitesh Kumar Bali:
En route to automated extraction and transfer of knowledge in multitask optimization : an evolutionary perspective. Nanyang Technological University, Singapore, 2021 - [j2]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) - 2020
- [j1]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)
2010 – 2019
- 2017
- [c1]Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. CEC 2017: 1295-1302
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