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

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 ...

The fitness-dependent optimizer (FDO) has recently gained attention as an effective metaheuristic for solving different optimization problems. However, it faces limitations in exploitation and ...

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 ...

Abstract: With the rapid transition of global energy structure towards low-carbon and clean directions, the penetration rate of distributed new energy sources represented by photovoltaic and wind ...

There is something magical about a firefly that fascinates young and old alike. If you grew up in the South, catching lightning bugs in a Mason jar was a childhood summer rite of passage. With ...

ABSTRACT: Medical image enhancement is an essential process for superior disease diagnosis as well as for detection of pathological lesion accurately. Computed Tomography (CT) is considered a vital ...

Abstract: The reliability-redundancy allocation problem can be approached as a mixed-integer programming problem. It has been solved by using optimization techniques such as dynamic programming, ...