Flexible manufacturing system (FMS) enhances the firm's flexibility and responsiveness to
the ever-changing customer demand by providing a fast product diversification capability …

Efficient routing algorithms are essential to guarantee reliable communication in Vehicular
Adhoc Networks (VANETs). In this paper, we present a twofold approach entailing the …

The unmanned aerial vehicle (UAV) has drawn increasing attention in recent years,
especially in executing tasks such as natural disaster rescue and detection, and battlefield …

1. Travelling Salesman Problem The Travelling Salesman Problem (TSP)[1] is an
optimization problem used to find the shortest path to travel through the given number of …

The complexity of chemical plant systems (CPS) makes optimising their design and
operation challenging tasks. This complexity also results in analytical and numerical …

The increasing integration of solar sources into the energy mix presents significant
challenges, particularly in short-term energy management. Accurate solar irradiance …

Aviation emergency rescue has become one of the most effective means for natural disaster
relief due to its flexible and timely characteristics. A reasonable emergency dispatch plan …

In this paper, we introduce Bingo, a flexible and customizable yet performant Python
framework for symbolic regression with genetic programming. Bingo maintains a modular …

Relational database management systems (RDMBSs) today are the predominant
technology for storing. In the past few years, the” one size fits all “-thinking concerning …

Genetic algorithm is a population based an adaptive search and optimizations techniques
and genetic mimic the natural evolution process. The Genetic operators include selection …