000 02037nam a2200253 a 4500
001 vtls000068026
003 KUKTEM
005 20251114204533.0
008 130107t2012 my da f m 000 0 eng d
020 _aTHE0001736(Local)
039 9 _a201905131216
_byusri
_y201301071444
_zFida
040 _aUMP
090 _aQA76.63 .Y66 2012 rs Bc.
100 1 _aYong, Kae Shin
245 1 0 _aSimulation of identifying shortest path walkway using particle swarm optimization (PSO) /
_cYong Kae Shin
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axi, 52 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Computer Science (Graphics & Multimedia Technology)) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 52
520 3 _aThe 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 _aLogic programming
650 0 _aSwarm intelligence
999 _aVIRTUA40
_c3744
_d3750
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992