Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/4469
Title: Ant colony approach to intelligent auto-recovery in manufacturing
Authors: Aung Sann Win
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2005
Abstract: In this thesis, a path-finding algorithm for self-recovery of MHS in manufacturing is developed based on the Ant Colony System (ACS) algorithm. ACS is an algrithm in which a set of artificial ants, also called agents, cooperates to find a solution of a problem by exchanging pheromone information.
URI: http://hdl.handle.net/10356/4469
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

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