Simulation of identifying shortest path walkway using particle swarm optimization (PSO) / Yong Kae Shin

By: Material type: TextTextPublication details: Kuantan, Pahang : UMP, 2012Description: xi, 52 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:
  • THE0001736(Local)
Subject(s): Dissertation note: Project paper (Bachelor of Computer Science (Graphics & Multimedia Technology)) -- Universiti Malaysia Pahang - 2012 Abstract: 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.
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Final Year Report Final Year Report UMPLIB GAMBANG CD 6564 | QA76.63 .Y66 2012 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000068766
Final Year Report Final Year Report UMPLIB PEKAN QA76.63 .Y66 2012 rs Bc. (Browse shelf(Opens below)) 1 Not for loan 0000068765

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.

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