Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization

This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update, discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired by the social behavior of bird flocking and fish schooling. PSO has been introduce...

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Main Author:	Zuwairie, Ibrahim
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8296/ http://umpir.ump.edu.my/id/eprint/8296/ http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf

id	ump-8296
recordtype	eprints
spelling	ump-82962018-02-08T03:31:58Z http://umpir.ump.edu.my/id/eprint/8296/ Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization Zuwairie, Ibrahim TK Electrical engineering. Electronics Nuclear engineering This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update, discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired by the social behavior of bird flocking and fish schooling. PSO has been introduced by Kennedy and Eberhart and contains a group of particles that move in a search space searching for an optimum solution according to a particular objective function. The movement of a particle is subjected to its own best found solution, pBest, and the best found solution in the neighborhood, gBest. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf Zuwairie, Ibrahim (2014) Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization. In: Fifth International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2014), 27-29 January 2014 , Sheraton Langkawi Beach Resort Teluk Nibong Langkawi, Kedah. pp. 5-6.. http://ijssst.info/Vol-15/No-3/data/3857a005.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
description	This lecture presents the latest advancement of Particle Swarm Optimization (PSO) in asynchronous update, discrete, and multi-objective problems. PSO is a population based stochastic optimization algorithm, inspired by the social behavior of bird flocking and fish schooling. PSO has been introduced by Kennedy and Eberhart and contains a group of particles that move in a search space searching for an optimum solution according to a particular objective function. The movement of a particle is subjected to its own best found solution, pBest, and the best found solution in the neighborhood, gBest.
format	Conference or Workshop Item
author	Zuwairie, Ibrahim
author_facet	Zuwairie, Ibrahim
author_sort	Zuwairie, Ibrahim
title	Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
title_short	Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
title_full	Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
title_fullStr	Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
title_full_unstemmed	Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization
title_sort	advances in particle swarm algorithms in asynchronous, discrete and multi-objective optimization
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8296/ http://umpir.ump.edu.my/id/eprint/8296/ http://umpir.ump.edu.my/id/eprint/8296/1/Advances_in_Particle_Swarm_Algorithms_in_Asynchronous%2C_Discrete_and_MultiObjective_Optimization.pdf
first_indexed	2023-09-18T22:05:42Z
last_indexed	2023-09-18T22:05:42Z
_version_	1777414693520932864

Advances in Particle Swarm Algorithms in Asynchronous, Discrete and Multi-Objective Optimization

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