Optimum Design of Network Structures Based on Hybrid Intelligence of Genetic - Ant Colonies Algorithm

Author

Huang, Fengli ; Xu, Jinghong ; Gu, Jinmei ; Lou, Yongjian

Author_Institution

Sch. of Mech. & Electr. Eng., Tongji Univ., Shanghai

Volume

1

fYear

2008

fDate

20-22 Oct. 2008

Firstpage

116

Lastpage

120

Abstract

The problem of maximum multi-reliabilities is studied aiming to the network structures. Firstly, the optimum model of network structures based on random and fuzzy chances constrained is given. The solution strategy of genetic-ant colonies algorithm with stochastic simulation and fuzzy simulated is studied, and the detailed steps of hybrid intelligence are given based on stochastic simulation and fuzzy simulation. At last, an instance is given, multi-objects model with chance constrained programming is provided, the model is solved by genetic-anti colonies algorithm. The feasibility of hybrid intelligence of genetic algorithm and ant colonies with stochastic simulation and fuzzy simulated is verified by the result of calculation.

Keywords

artificial intelligence; constraint handling; fuzzy logic; fuzzy set theory; genetic algorithms; reliability; stochastic processes; chance constrained programming; fuzzy chances; genetic algorithm; genetic-ant colonies algorithm; hybrid intelligence; maximum multireliabilities; network structures; stochastic simulation; Algorithm design and analysis; Biological cells; Computer networks; Costs; Design automation; Genetic algorithms; Intelligent networks; Intelligent structures; Joining processes; Stochastic processes; Ant Colonies Algorithm; Genetic Algorithm; Hybrid Intelligence; Network Structures;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on

Conference_Location

Hunan

Print_ISBN

978-0-7695-3357-5

Type

conf

DOI

10.1109/ICICTA.2008.205

Filename

4659454