Mete Ozdemir

A Comparative Performance Analysis of Artificial Bee Colony, Genetic Algorithm, Particle Swarm Optimization, and Sine Cosine Algorithm for Training a Robust Cauchy-Huber Dendritic Neuron Model in Bitcoin Log-Return Forecasting

This study presents a comparative performance analysis of four population-based metaheuristic optimization algorithms - the Artificial Bee Colony (ABC), the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and the Sine Cosine Algorithm (SCA) - used to train a single, fi...