Improving particle swarm optimization via adaptive switching asynchronous–synchronous update
Particle swarm optimization (PSO) is a population-based metaheuristic optimization
algorithm that solves a problem through iterative operations. Traditional PSO iteration …
algorithm that solves a problem through iterative operations. Traditional PSO iteration …
A Performance of AFIRO among Asynchronous Iteration Strategy Metaheuristic Algorithms
Abstract Asynchronous Finite Impulse Response Optimizer (AFIRO) is a metaheuristic
algorithm that has been developed as a population-based solution with an asynchronous …
algorithm that has been developed as a population-based solution with an asynchronous …
Finite impulse response optimizers for solving optimization problems
T Ab Rahman - 2019 - eprints.uthm.edu.my
Optimization problems are frequently found in various fields. The classification of estimation-
based metaheuristic algorithms has been introduced for solving optimization problems …
based metaheuristic algorithms has been introduced for solving optimization problems …
Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization
A Valdivia-González… - 2018 IEEE Latin …, 2018 - ieeexplore.ieee.org
In recent years several variations of Particle Swarm optimizations have been proposed due
to their simplicity and powerful global search ability. The Synchronous-Asynchronous …
to their simplicity and powerful global search ability. The Synchronous-Asynchronous …