IEEE - Institute of Electrical and Electronics Engineers, Inc. - A theoretical framework for runtime analysis of ant colony optimization

2010 International Conference on Machine Learning and Cybernetics (ICMLC)

Author(s): Zhong-Ming Yang ; Han Huang ; Zhaoquan Cai ; Yong Qin
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2010
Conference Location: Qingdao, China, China
Conference Date: 11 July 2010
Volume: 4
Page(s): 1,817 - 1,822
ISBN (CD): 978-1-4244-6525-5
ISBN (Electronic): 978-1-4244-6527-9
ISBN (Paper): 978-1-4244-6526-2
DOI: 10.1109/ICMLC.2010.5580959
Regular:

Ant colony optimization (ACO) is one of the most famous bio-inspired algorithms. Its theoretical research contains convergence proof and runtime analysis. The convergence of ACO has been proved... View More

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