A review of techniques for online control of parameters in swarm intelligence and evolutionary computation algorithms

RS Parpinelli, GF Plichoski… - … Journal of Bio …, 2019 - inderscienceonline.com
The two major groups representing biologically inspired algorithms are swarm intelligence
(SI) and evolutionary computation (EC). Both SI and EC share common features such as the …

A survey of bacterial foraging optimization

C Guo, H Tang, B Niu, CBP Lee - Neurocomputing, 2021 - Elsevier
Bacterial foraging optimization algorithm (BFO) is a biological-inspired swarm intelligence
optimization algorithm that simulates the foraging behavior of bacteria to obtain maximal …

Model reduction of transformer detailed RCLM model using the imperialist competitive algorithm

V Rashtchi, E Rahimpour, H Shahrouzi - IET electric power applications, 2012 - IET
Detailed RCLM model of power transformers is based on lumped parameters. This model is
used extensively not only for transient analysis inside transformers but also for transient …

Novel bacterial foraging optimisation algorithms with application to modelling and control of flexible manipulator systems

H Supriyono - 2012 - etheses.whiterose.ac.uk
Biologically-inspired soft-computing algorithms, which were developed by mimicking
evolution and foraging techniques of animals in nature, have attracted significant attention of …

Tutorial sobre o uso de técnicas para controle de parâmetros em algoritmos de inteligência de enxame e computaçao evolutiva

L André, RS Parpinelli - Revista de Informática Teórica e Aplicada, 2014 - seer.ufrgs.br
A natureza tem sido uma grande fonte de inspiração para o desenvolvimento de
abordagens computacionais para otimização. Dois grandes grupos que representam esta …

[引用][C] Application of adaptive step length bacterial foraging algorithm for parameter identification of transformer detailed model

V Rashtchi, E Rahimpour, H Shahrouzi - XVII Int. Symp. on High Voltage Engineering …, 2011