Results 21 to 30 of about 79,920 (249)

Particle Swarm Optimization (PSO) Based Turbine Control

open access: yesIntelligent Control and Automation, 2013
The steam turbine control system is strongly non-linear in all operating conditions. Proportional-Integral-Derivative (PID) controller that is currently used in control systems of many types of equipment is not considered highly precision for turbine speed control system.
Ali Tarique, Hossam A. Gabbar
openaire   +2 more sources

A Modified NM-PSO Method for Parameter Estimation Problems of Models

open access: yesJournal of Applied Mathematics, 2012
Ordinary differential equations usefully describe the behavior of a wide range of dynamic physical systems. The particle swarm optimization (PSO) method has been considered an effective tool for solving the engineering optimization problems for ordinary ...
An Liu, Erwie Zahara, Ming-Ta Yang
doaj   +1 more source

Sensor Placement Optimization Based on an Improved Inertia and Adaptive Particle Swarm Algorithm During an Explosion

open access: yesIEEE Access, 2020
An explosion field is random and nonuniform, and test sensors can be damaged by fragments during blast wave monitoring. When accurately and comprehensively obtaining the experimental data and the dynamic distributions from an explosion field, the ...
Yong-Hong Ding, Wen-Bin You
doaj   +1 more source

The Butterfly-Particle Swarm Optimization (Butterfly-PSO/BF-PSO) Technique and Its Variables [PDF]

open access: yesSSRN Electronic Journal, 2015
The new presented Butterfly-PSO technique (or BF-PSO) is basically originated by Particle Swarm Optimization (PSO). The Butterfly-PSO technique (BF-PSO) appears as a new growing star among all optimization techniques. The proposed 'Butterfly- Particle Swarm Optimization (Butterfly or BF-PSO)' is inspired by butterfly natural intelligence, character ...
Aashish Kumar Bohre   +2 more
openaire   +1 more source

A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]

open access: yes, 2009
Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
AS Uyar   +25 more
core   +4 more sources

A Coevolutionary Particle Swarm Algorithm for Bi-Level Variational Inequalities: Applications to Competition in Highway Transportation Networks [PDF]

open access: yes, 2009
A climate of increasing deregulation in traditional highway transportation, where the private sector has an expanded role in the provision of traditional transportation services, provides a background for practical policy issues to be investigated ...
Chiong, Raymond, Dhakal, Sandeep
core   +1 more source

Genetic learning particle swarm optimization [PDF]

open access: yes, 2016
Social learning in particle swarm optimization (PSO) helps collective efficiency, whereas individual reproduction in genetic algorithm (GA) facilitates global effectiveness.
Chung, Henry Shu-Hung   +6 more
core   +2 more sources

JPEG steganography with particle swarm optimization accelerated by AVX [PDF]

open access: yes, 2020
Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B   +7 more
core   +1 more source

Optimal Chiller Loading by Team Particle Swarm Algorithm for Reducing Energy Consumption

open access: yesEnergies, 2021
Energy saving is an important issue for multiple-chiller systems. Optimal chiller loading (OCL) in multiple-chiller systems has been investigated with many optimization algorithms to save energy.
Wen-Shing Lee   +3 more
doaj   +1 more source

Novel Artificial Human Optimization Field Algorithms - The Beginning

open access: yes, 2019
New Artificial Human Optimization (AHO) Field Algorithms can be created from scratch or by adding the concept of Artificial Humans into other existing Optimization Algorithms.
Gajawada, Satish, Mustafa, Hassan
core   +1 more source

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