Understanding Search Behavior in the Simulated Kalman Filter Algorithm
NHA Aziz, OJ Hao - JOIV: International Journal on Informatics Visualization, 2025 - joiv.org
In computational optimization, metaheuristic algorithms are crucial for solving complex and
dynamic problems. It is important to fully understand how an algorithm searches, as it helps …
dynamic problems. It is important to fully understand how an algorithm searches, as it helps …
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 …
A brief review of simulated Kalman Filter Algorithm–variants and applications
Simulated Kalman Filter (SKF) solves optimization problems by finding the estimate of the
optimum solution. As a multi-agent algorithm, every agent in the population acts as a …
optimum solution. As a multi-agent algorithm, every agent in the population acts as a …