02037nam a2200253 a 4500 vtls000068026 KUKTEM 20251114204533.0 130107t2012 my da f m 000 0 eng d THE0001736(Local) 201905131216 yusri 201301071444 Fida UMP QA76.63 .Y66 2012 rs Bc. Yong, Kae Shin Simulation of identifying shortest path walkway using particle swarm optimization (PSO) / Yong Kae Shin Kuantan, Pahang : UMP, 2012 xi, 52 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Computer Science (Graphics & Multimedia Technology)) -- Universiti Malaysia Pahang - 2012 Bibliography : p. 52 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. Logic programming Swarm intelligence 0 0 0 1 20000 20000 2019-09-04 0 QA76.63 .Y66 2012 rs Bc. 0000068765 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 6564 | QA76.63 .Y66 2012 rs Bc. 0000068766 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 3744 3750 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992