This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake ...

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...

Abstract: Firefly Optimization Algorithm (FA) is a novel heuristic stochastic algorithm based on swarm intelligence, which is inspired by the fireflies' biochemical and collective behavior. But for ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In this study, we focus on investigating a nonsmooth convex optimization problem involving the l 1-norm under a non-negative constraint, with the goal of developing an inverse-problem solver for image ...

Firefly Aerospace issued better-than-expected third-quarter results and lifted its guidance. This is Firefly's second quarterly report as a public company after its Nasdaq debut in August. The U.S.

Oct 5 (Reuters) - Space tech firm Firefly Aerospace (FLY.O), opens new tab will acquire national security technology company SciTec for about $855 million, the company said on Sunday, just months ...

Firefly Aerospace expects to price shares in its upcoming IPO at $41 to $43 apiece. That's up from the previous expected share price range and would value the space technology company at more than $6 ...

Federated Feature Selection using Binary Firefly Algorithm (FBFA) and FRHC with MLP-based federated modeling for high-dimensional IoT and tabular data.

It supports client-wise data partitioning and federated learning with feature selection for high-dimensional tabular datasets like IoT-IDS or spam classification. spambase-fed-bfa.ipynb Federated BFA ...