A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

We develop and engineer algorithms for fully dynamic graph problems-- efficiently maintaining solutions as edges and vertices are inserted and deleted. Developed at the Algorithm Engineering Group, ...

In this article, you’ll learn what prompt engineering is, how it works, and how to use it to get better results from AI tools. To put these concepts into practice, I teamed up with the Cybernews ...

Abstract: This paper introduces a novel approach to solving robust optimal formation control problems in heterogeneous multi-agent systems (MASs) with disturbances. Our approach frames this problem as ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

Multiple objectives to be optimized simultaneously are prevalent in real-life problems. This paper develops a new Pareto Method for bi-objective optimization which yields analytical solutions. The ...

The control of large-scale networks is a pressing problem of relevance to numerous natural and engineered systems. Despite recent advances in network and control science, there has been a lack of ...

We consider the problem of joint beamforming and discrete motion control for mobile relaying networks in dynamic channel environments. We assume a single source-destination communication pair. We ...