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Enhancing Decision-Making in Optimization through LLM-Assisted Inference: A Neural Networks Perspective
This paper explores the seamless integration of Generative AI (GenAI) and Evolutionary Algorithms (EAs) within the domain of large-scale multi-objective optimization.
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization
This paper pioneers a practical TrEO benchmark suite, integrating problems from the literature categorized based on the three essential aspects of Big Source Task-Instances: volume, variety, and velocity.
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