An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...
Abstract: In combinatorial optimization problems, traditional optimization algorithms are often difficult to efficiently find the global optimal solution. This paper studies the application of genetic ...
1 College of Art and Design, Wuhan Textile University, Wuhan, China 2 College of Chemistry and Chemical Engineering, Wuhan Textile University, Wuhan, China The final, formatted version of the article ...
Revolutionary AI agent framework using genetic evolution, liquid neural networks, and ML analytics for self-optimizing, production-ready multi-agent systems.
Abstract: This study introduces a novel hybrid optimization approach to achieve optimal size, strategic placement of distributed energy generators, and improved performance assessment within radial ...
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