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An efficient heuristic procedure for the optimal design of wastewater treatment systems [An article from: Resources, Conservation & Recycling]
Book Details
Author(s)P.M. Castro, H.A. Matos, A.Q. Novais
PublisherElsevier
ISBN / ASINB000PKI138
ISBN-13978B000PKI132
AvailabilityAvailable for download now
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from Resources, Conservation & Recycling, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper presents a new approach for the optimal design of wastewater treatment systems. An algorithm that can be divided in two parts is proposed for finding global optimal solutions to the problem. The first part comprises a new linear program formulation that is used to generate good starting points for the solution of the general non-linear program (second part). Since the starting point is dependent on the treatment sequence, all possible treatment sequences are considered and thus multiple starting points are generated. The best solution of the several non-linear problems that are solved is then assumed to be the global optimal solution, although there is no theoretical guarantee that this is so. The proposed algorithm has been compared to a global optimisation solver on a set of example problems taken from the literature and the results show that the same global optimal solutions can be obtained in significantly less time when our approach is used.
Description:
This paper presents a new approach for the optimal design of wastewater treatment systems. An algorithm that can be divided in two parts is proposed for finding global optimal solutions to the problem. The first part comprises a new linear program formulation that is used to generate good starting points for the solution of the general non-linear program (second part). Since the starting point is dependent on the treatment sequence, all possible treatment sequences are considered and thus multiple starting points are generated. The best solution of the several non-linear problems that are solved is then assumed to be the global optimal solution, although there is no theoretical guarantee that this is so. The proposed algorithm has been compared to a global optimisation solver on a set of example problems taken from the literature and the results show that the same global optimal solutions can be obtained in significantly less time when our approach is used.
