Running time analysis of Ant Colony Optimization for shortest path problems
نویسندگان
چکیده
منابع مشابه
Running time analysis of Ant Colony Optimization for shortest path problems
Ant Colony Optimization (ACO) is a modern and very popular optimization paradigm inspired by the ability of ant colonies to find shortest paths between their nest and a food source. Despite its popularity, the theory of ACO is still in its infancy and a solid theoretical foundation is needed. We present bounds on the running time of different ACO systems for shortest path problems. First, we im...
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iii Preface This thesis was prepared at the department of Informatics and Mathematical Modelling at the Technical University of Denmark in fulfillment of the requirements for acquiring an M.Sc. in Computer Science and Engineering. It was supervised by associate professor Carsten Witt, and assigned a workload of 30 ECTS credits. The thesis examines how nature-inspired algorithms based on the Ant...
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Ant Colony Optimization (ACO) is inspired by the ability of ant colonies to find shortest paths between their nest and a food source. We analyze the running time of different ACO systems for shortest path problems. First, we improve running time bounds by Attiratanasunthron and Fakcharoenphol [Information Processing Letters, 105(3):88–92, 2008] for single-destination shortest paths and extend t...
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ژورنال
عنوان ژورنال: Journal of Discrete Algorithms
سال: 2012
ISSN: 1570-8667
DOI: 10.1016/j.jda.2011.06.002