Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
Abstract: In this article, we aim to offer an interpretable learning paradigm for incremental random weight neural networks (IRWNNs). IRWNNs have become a hot research direction of neural network ...
LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...
We use Quarto to generate all outputs. @book{Nguyen2025TLBoAlg, author = {Duc-Tam Nguyen}, title = {The Little Book of algorithms}, year = {2025}, url = {https ...
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