In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Abstract: In the cooperative multi-armed bandits problem, multiple agents cooperatively play the same multi-armed bandit game. The goal is to develop bandit algorithms with optimal group and ...

Abstract: This article proposes a distributed safety-critical optimal flocking control algorithm for the multiagent system. In general, safety (i.e., collision avoidance) could be guaranteed by the ...

Optimal Market Technologies has announced the launch of a new U.S. listed options execution platform designed to introduce a more competitive market-maker model for retail order flow. The company, a ...

The X algorithm’s promotion of conservative content may shift the political opinions of those who switch to its “For You” tab after previously using a purely chronological feed, a study published ...