Abstract: The rooted max tree coverage (MTC) problem has wide applications in areas, such as network design and vehicle routing. Given a graph with non-negative costs defined on edges, a vertex used ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Abstract: Balancing optimality and robustness is the key to solving expensive robust multiobjective optimization problems (ExRMOPs) by evolutionary algorithms. However, existing studies usually design ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

This library provides a convenient Python interface for interacting with the Freerouting API (api.freerouting.app). It allows you to manage routing sessions, enqueue jobs, upload designs, download ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

secp256k1lab hopes to streamline the development process of cryptographic protocols for BIP proposals with a standard library for secp256k1. Until now, every Bitcoin Improvement Proposal (BIP) that ...

JesseSort: An experimental replacement for Python’s native sorting algorithm Written in C++ for speed, JesseSort claims to outperform Python’s default sorting algorithm with large amounts of data ...