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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
An improved adaptive Genetic Algorithm in Optimization of Partner Selection
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
ASCII Text
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Xuesen Ma, Jianghong Han, Zhenchun Wei, Yuefei Wang, "An improved adaptive Genetic Algorithm in Optimization of Partner Selection," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 455-460, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.191,
author = {Xuesen Ma and Jianghong Han and Zhenchun Wei and Yuefei Wang},
title = {An improved adaptive Genetic Algorithm in Optimization of Partner Selection},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {455-460},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.191},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - An improved adaptive Genetic Algorithm in Optimization of Partner Selection
SN - 0-7695-2909-7
SP455
EP460
A1 - Xuesen Ma,
A1 - Jianghong Han,
A1 - Zhenchun Wei,
A1 - Yuefei Wang,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Xuesen Ma, Member, IEEE; Hefei University of Technology, China
Jianghong Han, Hefei University of Technology, China
Zhenchun Wei, Hefei University of Technology, China
Yuefei Wang, Hefei University of Technology, China
Partner selection is a critical problem in organizing virtual enterprises according to 3 main indexes of cost, credit degree and makespan provided by the candidates. An improved genetic algorithm (AGA) with total fitness ranking-based selection and adaptive operator is presented. Selection based on total fitness ranking make multi-objective problem several single-objective optimizations, insures rational interval between individuals and avoids premature convergence. Crossover and mutation operator are adjusted according to the fitness and iterative degree. Thus, each individual owns the ability of self-adaptation with the variation of environment. The simulated results verified the effectiveness of AGA.
Citation:
Xuesen Ma, Jianghong Han, Zhenchun Wei, Yuefei Wang, "An improved adaptive Genetic Algorithm in Optimization of Partner Selection," snpd, vol. 3, pp.455-460, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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