Abstract: A novel and efficient hybrid sorting algorithm, termed the Merge-Block-Insertion sort (MBISort) algorithm, is proposed. MBISort combines the principles of insertion sort, block sort, and ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Abstract: Photovoltaic (PV) systems are widely acknowledged for their sustainable, plentiful, and eco-friendly energy generation. However, the non-linear behavior of PV cells highlights the vital role ...

Abstract: This paper presents a study on Maximum Power Point Tracking (MPPT) employing a DC-DC boost converter in MATLAB. The approach utilizes a genetic algorithm to determine optimal values for the ...

Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...

Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...

Abstract: Incorporating magnetic hysteresis in time-stepped finite element analysis is still challenging as the reluctivity exhibits a discontinuity at the reversal points when using the fixed-point ...

Abstract: In evolutionary computation, the study subject for algorithms capable of effectively resolving multi-objective optimization problems remains at the forefront of research. Most existing multi ...

Abstract: Conventional time-of-arrival localization methods often suffer from performance degradation in the presence of outliers. To address this issue, a robust framework is proposed to mitigate the ...

Abstract: This article concentrates on distributed optimization over networks with communication delays. Each subsystem in the network performs its local updates by using the information received from ...