Mohamed Abd Elaziz

Migration-Based Moth-Flame Optimization Algorithm

2021 · Processes

Moth–flame optimization (MFO) is a prominent swarm intelligence algorithm that demonstrates sufficient efficiency in tackling various optimization tasks. However, MFO cannot provide competitive results for complex optimization problems. The algorithm sinks into the local optimum …

An Efficient Parallel Reptile Search Algorithm and Snake Optimizer Approach for Feature Selection

2022 · Mathematics

Feature Selection (FS) is a major preprocessing stage which aims to improve Machine Learning (ML) models’ performance by choosing salient features, while reducing the computational cost. Several approaches are presented to select the most Optimal …

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection

2026 · Frontiers in Artificial Intelligence

Introduction: This study presents a modified version of Particle Swarm Optimization (PSO) using an all-optical computational update mechanism. The primary innovation and objective of this collaboration aimed to leverage the inherent properties of coherent optical …