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

ABSTRACT: Optimizing area of interest (AoI) coverage in wireless sensor networks (WSNs) is essential for ensuring reliable monitoring and high quality of service. Although numerous approaches have ...

Abstract: This paper introduces a novel hybrid Particle Swarm Optimization (PSO) algorithm called the Gradient Enhanced PSO (GE-PSO) that selectively incorporates a Gradient Descent (GD) technique to ...

Abstract: In the manufacturing and services industry, the job shop scheduling problem (JSSP) is a classic combinatorial optimization problem. The main objective of JSSP is to identify the most optimal ...

1 Department of Electrical and Electronic Engineering, Faculty of Engineering, Sunyani Technical University, Sunyani, Ghana. 2 Department of Electrical and Electronic Engineering, Akenten Appiah-Menka ...

Đồ án so sánh và phân tích các thuật toán Swarm Intelligence (Trí tuệ bầy đàn) với các thuật toán tối ưu truyền thống trên các bài toán tối ưu hóa liên tục và rời rạc. Algorithm Visualization: Phân ...

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 ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...