Research on Disruption Management for Multi-Objective Problem and its Solution by Genetic Algorithm

Ying Sun; Ting Gui Chen

doi:10.4028/www.scientific.net/AMR.433-440.5040

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Research on Disruption Management for...

Research on Disruption Management for Multi-Objective Problem and its Solution by Genetic Algorithm

Abstract:

Based on the best producting plan for multi-objective question, making the simulation model by increasing anti-disruption factors,or increasing the cost and the budget through undertaking the research on the inner system and the outer system's disruption .At the same time drawing the most close scheme by using the classical genetic algorithm for multiple-objective problem. The experiment shows that the system of internal and external factors causing the very different results to the allocation, but increasing the allocation costs and the opportunity costs is necessary in the actual operation.

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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

5040-5044

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.5040

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Online since:

January 2012

Authors:

Ying Sun, Ting Gui Chen

Keywords:

Disruption Simulation, Genetic Algorithm (GA), Multi-Objective Problem

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References

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