https://doi.org/10.1051/epjconf/201611001035
Multi-Criteria Optimization of Refinery
Samara State Technical University, Heat Power Department, Russia
a Corresponding author: entcom@samgtu.ru
Published online: 23 February 2016
Vector optimization of refinery is discussed. As the target function, a multi-level hierarchy criterion convolution is used. This convolution is formed following the recurrent procedure based on a scalar invariant representing a linear combination of Hölder norms: the first order norm and the sup-norm. The issue of matrix representation of the suggested invariant has been analyzed; the procedure of building the respective matrix structure has been developed. The approach has been implemented in a respective package of application software programs.
© Owned by the authors, published by EDP Sciences, 2016
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