Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Large-scale systems rely on heuristics to tackle NP-hard problems such as traffic engineering, virtual machine placement, and packet scheduling. While these heuristics are efficient, they can exhibit ...

When it comes to decision making, heuristics—mental shortcuts that can simplify decision making—often attract derision as ineffective because they are subjective or non-data-driven. However, I believe ...

Journalist Jo Ling Kent joined CBS News in July 2023 as the senior business and technology correspondent for CBS News. Kent has more than 15 years of experience covering the intersection of technology ...

Abstract: This letter presents an efficient design technique for optimizing parameters on antenna designs by using a heuristic single-core sampling inertia-weight-enhanced particle swarm optimization ...

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.

We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w ...

Have you ever spent hours wrestling with messy spreadsheets, trying to clean up data that just won’t cooperate? Or maybe you’ve found yourself manually merging files, painstakingly copying and pasting ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...