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|Title:||A study on meta-heuristics algorithms for solving the intelligent turret assembly system||Authors:||Tan, Hock Woo||Keywords:||DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering||Issue Date:||2008||Source:||Tan, H. W. (2008). A study on meta-heuristics algorithms for solving the intelligent turret assembly system. Master’s thesis, Nanyang Technological University, Singapore.||Abstract:||The Intelligent Turret Assembly System (ITAS) is a modular, re-configurable assembly system with a small footprint. This thesis investigates the use of Simulated Annealing (SA), Genetic Algorithm (GA), Tabu Search (TS) and Ant Colony Optimisation (ACO) for finding optimal configuration for the ITAS. A hybrid GA-ACO algorithm which was found to out-perform other conventional methods was proposed.||URI:||https://hdl.handle.net/10356/2486||DOI:||10.32657/10356/2486||Rights:||Nanyang Technological University||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Theses|
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