Particle swarm optimization: Hybridization perspectives and experimental illustrations
Metaheuristic optimization algorithms have become popular choice for solving complex and
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
A survey of the state of the art in particle swarm optimization
Meta-heuristic optimization algorithms have become popular choice for solving complex and
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
GAPSO-SVM: an IDSS-based energy-aware clustering routing algorithm for IoT perception layer
M Norouzi Shad, M Maadani… - Wireless Personal …, 2022 - Springer
With the emergence of Internet of Things (IoT) having large scale and generating huge
amount of data, Intelligent Decision Support Systems (IDSSs) have attracted a lot of attention …
amount of data, Intelligent Decision Support Systems (IDSSs) have attracted a lot of attention …
Hybrid predictive models for accurate forecasting in PV systems
The accurate forecasting of energy production from renewable sources represents an
important topic also looking at different national authorities that are starting to stimulate a …
important topic also looking at different national authorities that are starting to stimulate a …
Development and validation of different hybridization strategies between GA and PSO
A Gandelli, F Grimaccia, M Mussetta… - 2007 IEEE Congress …, 2007 - ieeexplore.ieee.org
In this paper a new class of hybridization strategies between GA and PSO is presented and
validated. The Genetical Swarm Optimization (GSO) approach is presented here with …
validated. The Genetical Swarm Optimization (GSO) approach is presented here with …
Photovoltaic plants predictive model by means of ANN trained by a hybrid evolutionary algorithm
D Caputo, F Grimaccia, M Mussetta… - The 2010 international …, 2010 - ieeexplore.ieee.org
This paper introduces a hybrid evolutionary optimization algorithm as a tool for training an
Artificial Neural Network used for production forecasting of solar energy PV plants. This …
Artificial Neural Network used for production forecasting of solar energy PV plants. This …
A review on the recent applications of particle swarm optimization & genetic algorithm during antenna design
AK Kesarwani, M Yadav, D Singh… - Materials Today …, 2022 - Elsevier
In recent years, the utilization of optimization techniques in versatile domains such as
manufacturing, design and engineering sectors is increased due to their potential and …
manufacturing, design and engineering sectors is increased due to their potential and …
Design and optimization of a broadband waveguide magic-T using a stepped conducting cone
KC Hwang - IEEE Microwave and Wireless Components …, 2009 - ieeexplore.ieee.org
The design of a broadband waveguide magic-T was accomplished using a genetical swarm
optimization (GSO) technique. A multi-stepped, off-centered conducting cone was used to …
optimization (GSO) technique. A multi-stepped, off-centered conducting cone was used to …
[PDF][PDF] A hybrid swarm optimization approach for feature set reduction in digital mammograms
J Jona, N Nagaveni - WSEAS Trans. Inf. Sci. Appl, 2012 - wseas.com
In this paper a CAD (Computer Aided Diagnosis) system is proposed to optimize the feature
set using hybrid of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) technique …
set using hybrid of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) technique …
Hybrid genetic and particle swarm algorithm: redundancy allocation problem
Redundancy allocation problem (RAP) is a non-linear programming problem which is very
difficult to solve through existing heuristic and non-heuristic methods. In this research paper …
difficult to solve through existing heuristic and non-heuristic methods. In this research paper …