This paper addresses carrier aircraft landing scheduling considering bolting and aerial refueling. It defines fuel and wake interval constraints, formulates a combinatorial optimization model, and ...

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 ...

Robot applications encompass a multitude of edge computing tasks, such as image processing, health monitoring, path planning, and infotainment. However, task scheduling within such environments ...

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 ...

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 ...

Nearly a quarter (24%) of buy-side trading desks plan to implement internal AI technologies for trade execution in the next 12 months, with 15% already doing so, according to a new report from Crisil ...

Abstract: Production optimization can be done by determining the optimal amount of product produced to achieve maximum profit according to the limit on the amount of raw material that has been ...