Parallelization of the MARS Value Function Approximation in a Decision-Making Framework for Wastewater Treatment
نویسندگان
چکیده
In this paper, a parallelized version of multivariate adaptive regression splines (MARS, Friedman 1991) is developed and utilized within a decision-making framework (DMF) based on an OA/MARS continuous-state stochastic dynamic programming (SDP) method (Chen et al. 1999). The DMF is used to evaluate current and emerging technologies for the multi-level liquid line of a wastewater treatment system, involving up to eleven levels of treatment and monitoring ten pollutants moving through the levels of treatment. At each level, one technology unit is selected out of set of options which includes the empty unit. The parallel-MARS algorithm enables the computational efficiency to solve this ten-dimensional SDP problem using a new solution method which employs orthogonal array-based Latin hypercube designs and a much higher number of eligible knots.
منابع مشابه
Site selection for wastewater treatment plant using integrated fuzzy logic and multicriteria decision model: A case study in Kahak, Iran
One of the environmental issues in urban planning is finding a suitable site for constructing infrastructures such as water and wastewater treatment plants. There are numerous factors to be considered for this purpose, which make decision-making a complex task. We used an integrated fuzzy logic and multicriteria decision model to select a suitable site for establishing wastewater treatment plan...
متن کاملAssessment of Spatial Multi-Criteria Decision-Making with Process of the Artificial Neural Networks Method to Site Selection of the Wastewater Treatment Plant (Case Study: Qeshm Island)
Wastewater treatment technology in the cyclic nature of the process that takes a long time. But man tries to rush to their needs with experience and understanding of the natural processes of interaction, and using technology to build their Industrial development is authorized. Sewage treatment reed have been born from the vision of man's increasing need to water daily decreases the natural reso...
متن کاملAssessment of Spatial Multi-Criteria Decision-Making with Process of the Artificial Neural Networks Method to Site Selection of the Wastewater Treatment Plant (Case Study: Qeshm Island)
Wastewater treatment technology in the cyclic nature of the process that takes a long time. But man tries to rush to their needs with experience and understanding of the natural processes of interaction, and using technology to build their Industrial development is authorized. Sewage treatment reed have been born from the vision of man's increasing need to water daily decreases the natural reso...
متن کاملDebt Collection Industry: Machine Learning Approach
Businesses are increasingly interested in how big data, artificial intelligence, machine learning, and predictive analytics can be used to increase revenue, lower costs, and improve their business processes. In this paper, we describe how we have developed a data-driven machine learning method to optimize the collection process for a debt collection agency. Precisely speaking, we create a frame...
متن کاملUpgrading Wastewater Treatment Plants Based on Reuse Demand, Technical and Environmental Policies (A Case Study)
Reclamation and reuse programs are an indispensable part of integrated water resource management, particularly in arid and semi arid regions. Yet, the feasibility of sustainable application not only is relied on design, operation and maintenance of wastewater treatment plants, but also could be influenced by the economical and environmental aspects of reuse demands. This study is aimed to illus...
متن کامل