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 ...

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 ...

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, ...

Abstract: Optimizing production planning has tremendous economic impact for many industrial production systems. In this paper, the planning problem of a class of production systems with hybrid ...

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 ...

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

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 ...

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 ...

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 ...