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Ant Colony Algorithm for Solving Continuous Space ConstrainedOptimization Problems
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[1]JIAO Liu-cheng,SHAO Chuang-chuang,CHENG Zhi-ping.Ant Colony Algorithm for Solving Continuous Space ConstrainedOptimization Problems[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):20-23.[doi:10.3969/j.issn.1671-6833.2015.01.005]
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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 36 Number of periods: 2015 01 Page number: 20-23 Column: Public date: 2015-01-10
Title:
Ant Colony Algorithm for Solving Continuous Space ConstrainedOptimization Problems
Author(s):
JIAO Liu-cheng; SHAO Chuang-chuang; CHENG Zhi-ping
School of Electrical Engineering，Zhengzhou University ,Zhengzhou 450001 ,China
Keywords:
continuous space;  constrained optimization;  ant colony algorithm; penalty function method
CLC:
TP18
DOI:
10.3969/j.issn.1671-6833.2015.01.005
Abstract:
With ideas of ant colony algorithm and penalty function,an ant colony algorithm,which can solvecontinuous space constrained optimization problems,was proposed. We adopted the penalty function method ofadjusting its value of adaptively to transform the constrained optimization problems into unconstrained optimiza-tion problems,and then combined with the continuous domain ant colony algorithm of adjusting its global selec-tion factor and the value of the pheromone evaporation factor adaptively to solve the continuous space constrainedoptimization problems. And through programming solution of one benchmarking function,we compared the re-sults with those of using fixed parameters ant colony algorithm,it was verified with correctness and effectiveness.
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