Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

Abstract: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of ...

Renault Group and Thales are joining forces to prepare the Toutatis loitering munition for mass production, an alliance ...

Toy Story 5 opened June 19 to a $164 million weekend by making its villain a real AI failure mode — goal misgeneralization, where measurable proxies like friend counts diverge from the human value ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...

For K-Swarm, an M-346FA manned jet (left) took control of an unmanned Kizilelma unmanned combat aerial vehicle (right). (Baykar, Leonardo ) Baykar and Leonardo have demonstrated the crewed-uncrewed ...

Firmus Technologies plans a 360MW Nvidia-powered AI data center in Batam, Indonesia, as APAC demand for AI compute capacity grows. If you can only read one tech story a day, this is it. We use cookies ...

The purpose of swarm is to provide a novel clustering algorithm that handles massive sets of amplicons. Results of traditional clustering algorithms are strongly input-order dependent, and rely on an ...

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