MATLAB is a leading environment for numerical computing, algorithm design, and data analysis used by engineers, researchers, ...

Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

Matlab scripts for optimization algorithms and mathematical models used in the paper "Availability optimization for stochastic degrading systems under Imperfect Preventive Maintenance." ...

AI is changing how people find and engage with content – but the core signals that drive visibility haven’t changed. This article shows how search marketers can stay competitive by combining proven ...

In this paper, we present an innovative approach to accurately extract the device parameters of a semiconductor p-n junction diode using a Multi-Objective Quantum-Inspired Particle Swarm Optimization ...

Abstract: Microgrids are small power systems with one or most distributed generating units (DGs). Frequency and voltage control are crucial for grid-independent operating. It is a complex problem and ...

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a ...

This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this end, an ...

De-blur and de-noise an image to recover the original image using a linear mathematical model for the blurring process. For that, we run optimization algorithms using a non-blind framework where we ...