職員瀏覽: Simulation of identifying shortest path walkway using particle swarm optimization (PSO)

Simulation of identifying shortest path walkway using particle swarm optimization (PSO)

The purpose of this research is to present the development of the system of Simulation of Identifying Shortest Path Walkway using Particle Swarm Optimization(PSO). This application system is use to solve the shortest path problem in the simulated environment.The suggested simulation environment is a...

全面介紹

Saved in:

書目詳細資料
主要作者:	Kae Shin, Yong
格式:	Undergraduates Project Papers
語言:	English
出版:	2012
主題:	QA Mathematics
在線閱讀:	http://umpir.ump.edu.my/id/eprint/4440/1/Simulation%20of%20identifying%20shortest%20path%20walkway%20using%20particle%20swarm%20optimization%20%28PSO%29.pdf http://umpir.ump.edu.my/id/eprint/4440/
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

id	my.ump.umpir.4440
record_format	eprints
spelling	my.ump.umpir.44402023-12-11T07:40:32Z http://umpir.ump.edu.my/id/eprint/4440/ Simulation of identifying shortest path walkway using particle swarm optimization (PSO) Kae Shin, Yong QA Mathematics The purpose of this research is to present the development of the system of Simulation of Identifying Shortest Path Walkway using Particle Swarm Optimization(PSO). This application system is use to solve the shortest path problem in the simulated environment.The suggested simulation environment is a restaurant.In the real world restaurant, if the waiter unable to deliver the food within short period of time,this may reduce the customer satisfaction and downgrade the work performance.This will not only happen in the restaurant,since people nowadays prefer the effective services. Therefore, this project is develop to find the shortest path which means to find a path with minimum distance between two locations by apply the algorithm of Particle Swarm Optimization technique.This system is expected to solve the shortest path and identify the optimal path.Due to this,it is tend to reduce the time consume in specific situation with the determining of shortest path. The development of this system could bring convenience and effectiveness for the work in progress. 2012-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/4440/1/Simulation%20of%20identifying%20shortest%20path%20walkway%20using%20particle%20swarm%20optimization%20%28PSO%29.pdf Kae Shin, Yong (2012) Simulation of identifying shortest path walkway using particle swarm optimization (PSO). Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Kae Shin, Yong Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
description	The purpose of this research is to present the development of the system of Simulation of Identifying Shortest Path Walkway using Particle Swarm Optimization(PSO). This application system is use to solve the shortest path problem in the simulated environment.The suggested simulation environment is a restaurant.In the real world restaurant, if the waiter unable to deliver the food within short period of time,this may reduce the customer satisfaction and downgrade the work performance.This will not only happen in the restaurant,since people nowadays prefer the effective services. Therefore, this project is develop to find the shortest path which means to find a path with minimum distance between two locations by apply the algorithm of Particle Swarm Optimization technique.This system is expected to solve the shortest path and identify the optimal path.Due to this,it is tend to reduce the time consume in specific situation with the determining of shortest path. The development of this system could bring convenience and effectiveness for the work in progress.
format	Undergraduates Project Papers
author	Kae Shin, Yong
author_facet	Kae Shin, Yong
author_sort	Kae Shin, Yong
title	Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
title_short	Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
title_full	Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
title_fullStr	Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
title_full_unstemmed	Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
title_sort	simulation of identifying shortest path walkway using particle swarm optimization (pso)
publishDate	2012
url	http://umpir.ump.edu.my/id/eprint/4440/1/Simulation%20of%20identifying%20shortest%20path%20walkway%20using%20particle%20swarm%20optimization%20%28PSO%29.pdf http://umpir.ump.edu.my/id/eprint/4440/
_version_	1822923948604522496
score	13.251813

Simulation of identifying shortest path walkway using particle swarm optimization (PSO)

相似書籍