The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful.

4 Applied Science Research Center, Applied Science Private University, Amman, Jordan 5 Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, Sweden This paper proposes ...

This paper proposes a high-performance circuit design algorithm using input data dependent approximation. In our algorithm, STEPCs (Suspicious Timing Error Pred ...

This letter proposes two polynomial-time approximation algorithms for allocating servers to design a consistency-aware multi-server network for delay-sensitive applications.

With regard to this problem, the presented depth-first algorithm is a type of approximation algorithm, which means that it runs faster than an integrative algorithm.

Such algorithms find approximate (slightly suboptimal) solutions to optimization problems in polynomial time. Unlike heuristics, approximation algorithms have provable performance guarantees: they ...

Machine learning and generative design are profoundly shaping modern life. A central critique to the value and advancement of artificial intelligence, especially in the context of architecture, is ...

Implements a traveling salesperson problem (TSP) approximation algorithm in order to optimize routes for package deliveries. Written in Python. Supports multiple delivery vehicles, real time changes ...