A three-bar truss design using single-solution simulated Kalman filter optimizer
H Fauzi, U Batool - Mekatronika: Journal of Intelligent …, 2019 - journal.ump.edu.my
Three-bar truss is a structure that is important in the field of civil engineering. Design of the
three-bar truss is thus an interesting problem in engineering. Metaheuristic approach has …
three-bar truss is thus an interesting problem in engineering. Metaheuristic approach has …
Enhancing simulated Kalman filter algorithm using current optimum opposition-based learning
Simulated Kalman filter (SKF) is a new population-based optimization algorithm inspired by
estimation capability of Kalman filter. Each agent in SKF is regarded as a Kalman filter …
estimation capability of Kalman filter. Each agent in SKF is regarded as a Kalman filter …
[PDF][PDF] Distance evaluated simulated kalman filter with state encoding for combinatorial optimization problems
Abstract Simulated Kalman Filter (SKF) is a population-based optimization algorithm which
exploits the estimation capability of Kalman filter to search for a solution in a continuous …
exploits the estimation capability of Kalman filter to search for a solution in a continuous …
Design of an helical spring using single-solution simulated kalman filter optimizer
MA Azzam, U Batool, H Fauzi - Mekatronika: Journal of …, 2019 - journal.ump.edu.my
Optimization is one of the important process in solving engineering problems. Regrettably,
there are numerous problems in practical optimization that cannot be solved flawlessly …
there are numerous problems in practical optimization that cannot be solved flawlessly …
A fitness-based adaptive synchronous-asynchronous switching in simulated kalman filter optimizer
Simulated Kalman Filter (SKF) is a population-based optimizer introduced in 2015 that is
based on Kalman filtering, which consists of prediction, measurement, and estimation …
based on Kalman filtering, which consists of prediction, measurement, and estimation …
A Tutorial on Population-based Simulated Kalman Filter
Abstract Simulated Kalman Filter (SKF) is an estimation-based optimization algorithm which
is established based on the Kalman filtering framework. Even since the SKF algorithm is …
is established based on the Kalman filtering framework. Even since the SKF algorithm is …
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 …
Fitness-evaluated Adaptive Switching Simulated Kalman Filter Algorithm with Randomness
Abstract The original Simulated Kalman Filter (SKF) is an optimizer that employs
synchronous update mechanism. The agents in SKF update their solutions after all fitness …
synchronous update mechanism. The agents in SKF update their solutions after all fitness …
Single-agent Finite Impulse Response Optimizer vs Simulated Kalman Filter Optimizer
Abstract Single-agent Finite Impulse Response Optimizer (SAFIRO) is a new estimation-
based optimization algorithm which mimics the work procedure of the ultimate unbiased …
based optimization algorithm which mimics the work procedure of the ultimate unbiased …
A Diversity-Based Adaptive Synchronous-Asynchronous Switching Simulated Kalman Filter Optimizer
Abstract The original Simulated Kalman Filter (SKF) is an optimizer that employs
synchronous update mechanism. The agents in SKF update their solutions after all fitness …
synchronous update mechanism. The agents in SKF update their solutions after all fitness …