Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

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Here is a reason why Dragonfly owners are okay with waiting two years or more to get their hands on the new 36. Everyone that has tested it agrees: It’s a multihuller’s dream boat. “Exhilarating” is ...

Abstract: This paper presents a multi-objective dragonfly algorithm (MODA)-based drone base station (DBS) placement scheme aimed at improving energy efficiency in aerial mobile networks. Unlike ...

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 ...

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 the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Traditional multi-pass cells (MPCs) rely on grid search algorithms for design, which suffer from problems such as long design time and high computational cost. Additionally, these conventional methods ...

Abstract: Dragonfly Algorithm (DA) is a Swarm Intelligence (SI) based optimization strategy. Since its development in 2016, DA has been widely utilized in many technology and engineering applications.