Emergency Dynamic Alliance Partner Selection Based on Adaptive Genetic Algorithm

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Abstract:

Emergency mobilization alliance partner selection process is longitudinally choice of the value chain to achieve a task. Value of subtasks coefficient has been discussed. Depending on the difficulty of the problem and analytical perspective, the model of emergency mobilization alliance partner selection is given to maximize the overall effectiveness of the emergency mobilization. The choice of partner selection using adaptive genetic algorithm is made and the comparison with other methods has been analyzed.

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1621-1624

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] D.B. Forgel. An introduction to simulated evolutionary optimization. IEEE Trans. on NN. 1994, 5(l): 3-14.

Google Scholar

[2] M. Srinivas et al. Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. on SMC[C]. 1994, 24(4): 656-667.

DOI: 10.1109/21.286385

Google Scholar

[3] V Petridis et al. Varying quality function ingenetic algorithms and the cutting problem. 0-7803-1899-4/94, IEEE[C]. 1994: 166-169.

Google Scholar

[4] Talluri S, Baker R C. Quantitative framework for Designing Efficient Business Process Alliances. IEEE International Engineering Management Conference[C]. Managing Virtual Enterprise: A Convergence of Communications, Computing, and Energy Technologies, 1996: 656-661.

DOI: 10.1109/iemc.1996.547896

Google Scholar