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      A study on meta-heuristics algorithms for solving the intelligent turret assembly system

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      SCE-THESES_236.pdf (1.636Mb)
      Author
      Tan, Hock Woo
      Date of Issue
      2008
      School
      School of Computer Engineering
      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.
      Subject
      DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
      Type
      Thesis
      Rights
      Nanyang Technological University
      Collections
      • Theses and Dissertations (Submission before August 2018)
      https://doi.org/10.32657/10356/2486
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