Research on ACO Algorithm Based on Scholarship Mechanism

Currently ,most of traditional Ant Colony Optimization algorithms that we are using were proved to be some critical issues, such as slow convergence and long time computation, search stagnation etc. A new improved ACO algorithm based on scholarship mechanism to balance between the search data proces...

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Published inApplied Mechanics and Materials Vol. 457-458; no. Frontiers of Mechanical Engineering and Materials Engineering II; pp. 741 - 744
Main Author Xia, Hui
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.10.2013
Subjects
Algorithms
Ant colony optimization
Balancing
Convergence
Data processing
Optimization
Searching
Stagnation
ACO Algorithm
Scolarship Mechanism
Stagnation
Convergence
Online AccessGet full text
ISBN9783037859247
3037859245
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.457-458.741

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Abstract Currently ,most of traditional Ant Colony Optimization algorithms that we are using were proved to be some critical issues, such as slow convergence and long time computation, search stagnation etc. A new improved ACO algorithm based on scholarship mechanism to balance between the search data processing and stagnation was addressed.Besides,the improved ACO alorithm was deeply analyzed and proved that the optimal solution can maintain ability for other path detection.The theoretical analysis and comparative experiments demonstrate that the imroved ACO has much better performance and can be used to solve the problems of convergence and search stagnation efficiently.
AbstractList Currently ,most of traditional Ant Colony Optimization algorithms that we are using were proved to be some critical issues, such as slow convergence and long time computation, search stagnation etc. A new improved ACO algorithm based on scholarship mechanism to balance between the search data processing and stagnation was addressed.Besides,the improved ACO alorithm was deeply analyzed and proved that the optimal solution can maintain ability for other path detection.The theoretical analysis and comparative experiments demonstrate that the imroved ACO has much better performance and can be used to solve the problems of convergence and search stagnation efficiently.
Author Xia, Hui
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10.3969/j.issn.1004-4132.2010.01.002
10.1016/j.amc.2007.12.006
10.1016/j.ipl.2007.11.015
10.1016/j.future.2008.06.004
10.1007/978-3-642-20407-4_8
10.1109/tfuzz.2009.2038150
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Scolarship Mechanism
Stagnation
Convergence
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Snippet Currently ,most of traditional Ant Colony Optimization algorithms that we are using were proved to be some critical issues, such as slow convergence and long...
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SubjectTerms Algorithms
Ant colony optimization
Balancing
Convergence
Data processing
Optimization
Searching
Stagnation
Title Research on ACO Algorithm Based on Scholarship Mechanism
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