Abstract
This work is concerned with complex optimization problems which can be divided into multiple, multi-dimensional problems arranged linearly (as can be observed in the multi-stage industrial processes). The relations between complexity of the problem, level of aggregation of stages into larger groups, and efficiency of search for optimal solution were investigated.
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Acknowledgements
The research leading to results contained in this paper was supported by National Science Centre in Poland (NCN), Grant no. DEC-2013/11/B/ST8/00352
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Kusiak, J., Morkisz, P., Oprocha, P., Pietrucha, W., Sztangret, Ł. (2016). On Aggregation of Stages in Multi-criteria Optimization of Chain Structured Processes. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_36
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DOI: https://doi.org/10.1007/978-3-319-39378-0_36
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