28 citations · 28 across the 3 of their papers we have counts for
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cs.NE2024
Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
Gaurav Singh, Kavitesh Kumar Bali
This paper explores the seamless integration of Generative AI (GenAI) and Evolutionary Algorithms (EAs) within the domain of large-scale multi-objective optimization. Focusing on t…
cs.NE2024
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
Yaqing Hou, Wenqiang Ma, Abhishek Gupta +5
In recent years, the field of Transfer Evolutionary Optimization (TrEO) has witnessed substantial growth, fueled by the realization of its profound impact on solving complex proble…