Abstract
Aiming at the problem that the traditional multi-objective optimization method is sensitive to the shape of the Pareto frontier and defect that can not guarantee to obtain Pareto decision solution, bases on the idea of system decision, combines the grey system theory and fuzzy comprehensive evaluation, establish grey fuzzy optimal model of Pareto solution and make a math demonstration about its correctness, while it gives the corresponding genetic algorithm. Project examples show that the model is practical and effective.
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© 2011 Springer-Verlag Berlin Heidelberg
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Ye, F., Tianen, Z., Haiyang, Y. (2011). Multi-objective Optimization of Crane Luffing Mechanism Based on Gray Fuzzy Optimal Model. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_53
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DOI: https://doi.org/10.1007/978-3-642-23220-6_53
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