alexa Multi-Criteria Optimisation Problems for Chemical Engineering Systems and Algorithms for their Solution Based on Fuzzy Mathematical Methods
ISSN: 2155-6210

Journal of Biosensors & Bioelectronics
Open Access

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Research Article

Multi-Criteria Optimisation Problems for Chemical Engineering Systems and Algorithms for their Solution Based on Fuzzy Mathematical Methods

Orazbayev BB*, Kurmangaziyeva LT, Orazbayeva KN and Makhatova VE

Department of Technical Sciences, Atyrau Institute of Oil and Gas, Atyrau, Kazakhstan

*Corresponding Author:
Orazbayev BB
Doctor of Technical Sciences
Professor,Atyrau Institute of Oil and Gas
Atyrau, Atyrau, Microdistrict Sarykamys
Akhtanova Street, House 20, Kazakhstan
Tel: +77017819639
E-mail: [email protected]

Received Date: March 14, 2015 Accepted Date: August 20, 2015 Published Date: September 01, 2015

Citation: Orazbayev BB, Kurmangaziyeva LT, Orazbayeva KN, Makhatova VE (2015) Multi-Criteria Optimisation Problems for Chemical Engineering Systems and Algorithms for their Solution Based on Fuzzy Mathematical Methods. J Biosens Bioelectron 6:179. doi:10.4172/2155-6210.1000179

Copyright: © 2015 Orazbayev BB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Mathematical equations for the multi-criteria task of the optimisation of chemical engineering systems, for example for the optimisation of working regimes for industrial installations for benzene production, have been formulated and developed, and based on fuzzy mathematical methods, algorithms for their solution have been developed. Since the chemical engineering system which is being researched is characterised by multiple criteria and often functions in conditions of uncertainty, the presenting problem is formulated in the form of multi-criteria equations for fuzzy mathematical programming. New mathematical formulations for the problems being solved in a fuzzy environment and heuristic algorithms for their solution have been developed by the modification of various optimisation principles based on fuzzy mathematical methods.


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