Abstract: In order to address unconstrained optimization problems, conjugate gradient methods are frequently employed. When considering the unconstrained optimization issue, the accelerated conjugate ...

ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

Abstract: This paper presents Adaptive Learning Rate Polak-Ribiere-Polyak Conjugate Gradient Neuro-Fuzzy (ALR-PCGNF), an advanced hybrid optimization algorithm specifically designed for training first ...