Symbiotic organisms search algorithm: theory, recent advances and applications
The symbiotic organisms search algorithm is a very promising recent metaheuristic
algorithm. It has received a plethora of attention from all areas of numerical optimization …
algorithm. It has received a plethora of attention from all areas of numerical optimization …
[图书][B] Swarm intelligence and evolutionary computation: theory, advances and applications in machine learning and deep learning
G Kouziokas - 2023 - taylorfrancis.com
The aim of this book is to present and analyse theoretical advances and also emerging
practical applications of swarm and evolutionary intelligence. It comprises nine chapters …
practical applications of swarm and evolutionary intelligence. It comprises nine chapters …
Investigating the use of alternative topologies on performance of the PSO-ELM
EMN Figueiredo, TB Ludermir - Neurocomputing, 2014 - Elsevier
In recent years, the Extreme Learning Machine (ELM) has been hybridized with the Particle
Swarm Optimization (PSO) and such hybridization is called PSO-ELM. In most of these …
Swarm Optimization (PSO) and such hybridization is called PSO-ELM. In most of these …
A novel multiobjective gdwcn-pso algorithm and its application to medical data security
Nature-inspired optimization is one of the most prevalent research domains with a
confounding history that fascinates the research communities. Particle Swarm Optimization …
confounding history that fascinates the research communities. Particle Swarm Optimization …
An investigation of particle swarm optimization topologies in structural damage detection
In the past few decades, vibration-based structural damage detection (SDD) has attracted
widespread attention. Using the response data of engineering structures, the researchers …
widespread attention. Using the response data of engineering structures, the researchers …
Dynamic clan particle swarm optimization
CJA Bastos-Filho, DF Carvalho… - … Systems Design and …, 2009 - ieeexplore.ieee.org
Particle Swarm Optimization (PSO) has been widely used to solve many different real world
optimization problems. Many novel PSO approaches have been proposed to improve the …
optimization problems. Many novel PSO approaches have been proposed to improve the …
Adaptive clan particle swarm optimization
MR Pontes, FBL Neto… - 2011 IEEE Symposium …, 2011 - ieeexplore.ieee.org
Particle Swarm Optimization has been widely used to solve real world problems, mainly
when there are too many variables to be optimized and these variables are continuous. In …
when there are too many variables to be optimized and these variables are continuous. In …
A new cooperative evolutionary multi-swarm optimizer algorithm based on CUDA architecture applied to engineering optimization
This paper presents a new Cooperative Evolutionary Multi-Swarm Optimization Algorithm
(CEMSO-GPU) based on CUDA parallel architecture applied to solve engineering problems …
(CEMSO-GPU) based on CUDA parallel architecture applied to solve engineering problems …
Comparing particle swarm optimization approaches for training multi-layer perceptron neural networks for forecasting
SM Santos, MJS Valença, CJA Bastos-Filho - Intelligent Data Engineering …, 2012 - Springer
Abstract Multilayer Perceptron Artificial Neural Networks (MLP-NN) have been widely used
to tackle forecasting problems. The most used algorithm for training MLP-NN is called …
to tackle forecasting problems. The most used algorithm for training MLP-NN is called …
A socio-cognitive approach to modeling policies in open environments
T Ryutov - Eighth IEEE International Workshop on Policies for …, 2007 - ieeexplore.ieee.org
The richness of today's electronic communications mirrors physical world: activities such as
shopping, business and scientific collaboration are conducted online. Current interactions …
shopping, business and scientific collaboration are conducted online. Current interactions …