Simulation of identifying shortest path walkway using particle swarm optimization (PSO) / (Record no. 3744)

MARC details
000 -LEADER
fixed length control field 02037nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000068026
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204533.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130107t2012 my da f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0001736(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905131216
Level of effort used to assign nonsubject heading access points yusri
-- 201301071444
-- Fida
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA76.63 .Y66 2012 rs Bc.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yong, Kae Shin
245 10 - TITLE STATEMENT
Title Simulation of identifying shortest path walkway using particle swarm optimization (PSO) /
Statement of responsibility, etc. Yong Kae Shin
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xi, 52 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Computer Science (Graphics & Multimedia Technology)) -- Universiti Malaysia Pahang - 2012
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 52
520 3# - SUMMARY, ETC.
Summary, etc. 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Logic programming
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Swarm intelligence
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 6564 | QA76.63 .Y66 2012 rs Bc. 0000068766 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   QA76.63 .Y66 2012 rs Bc. 0000068765 04/09/2019 1 04/09/2019 Final Year Report

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