Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...

Abstract: The rapid expansion of cloud data centers, driven by the increasing demand for diverse user services, has escalated energy consumption and greenhouse gas emissions, posed severe ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

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: Multiaxis motion control systems have gained widespread adoption. However, the implementations of multiaxis servo control using distributed controllers are hindered by the data exchange ...

Abstract: With the rapid development of the smart grid relying on communication and computer science technology, its vulnerabilities to intentional cyber-attacks are also exposed to cyber-attackers.

From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing and into the real world. Share on Facebook (opens in a new window) Share ...

Abstract: The flush air data sensing (FADS) system resolves air data state issues through redundant measurements of surface pressure distributions on the vehicle, with its fault-tolerant algorithm ...

Abstract: genetic programming (GP) is a widely recognized and powerful approach for symbolic regression (SR) problems. However, existing GP methods rely on a single form to solve the problem, which ...

Abstract: Triangle classification is essential in graph analysis, such as for effectively detecting communities, evaluating clusters, and quantifying connection density. While traditional algorithms ...