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

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..

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Abstract

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.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	2166-0662/14© 2014 IEEE DOI:10.1109/ISMS.2014.166
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	30 Jan 2015 07:34
Last Modified:	08 Feb 2018 03:31
URI:	http://umpir.ump.edu.my/id/eprint/8296
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