Journal ArticleDOI
An interval-parameter fuzzy nonlinear optimization model for stream water quality management under uncertainty
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TLDR
It was indicated that the proposed linearization method was effective in dealing with IFNP problems; uncertainties can be communicated into optimization process and generate reliable solutions for decision variables and objectives; the decision alternatives can be obtained by adjusting different combinations of the decision variables within their solution intervals.About:
This article is published in European Journal of Operational Research.The article was published on 2007-08-01. It has received 153 citations till now. The article focuses on the topics: Nonlinear programming & Linearization.read more
Citations
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Handling uncertainty in agricultural supply chain management: a state of the art
TL;DR: This paper provides an overview of the latest advances and developments in the application of operations research methodologies to handling uncertainty occurring in the agricultural supply chain management problems and highlights the most pertinent and widely used frameworks.
Journal ArticleDOI
A survey of the application of fuzzy set theory in production and operations management: 1998–2009
Bo K. Wong,Vincent S. Lai +1 more
TL;DR: The major findings indicate that the most popular applications are capacity planning, scheduling, inventory control, and product design, and some application areas make more use of particular types of fuzzy techniques.
Journal ArticleDOI
Removal of Tetrabromobisphenol A by adsorption on pinecone-derived activated charcoals: Synchrotron FTIR, kinetics and surface functionality analyses.
TL;DR: This study showed that the newly presented evidence of interactions between oxygen-containing functional groups and TBBPA will be helpful for exploring the treatment and transport of such a contaminant in the environment.
Journal ArticleDOI
Energy and environmental systems planning under uncertainty—an inexact fuzzy-stochastic programming approach
TL;DR: In this paper, an inexact fuzzy-stochastic energy model (IFS-EM) is developed for planning energy and environmental systems (EES) management under multiple uncertainties.
Journal ArticleDOI
Water quality modeling for load reduction under uncertainty: A Bayesian approach
TL;DR: The results showed that for most river segments, the historical loading was beyond the L(m) threshold; thus, reduction for organic matter and nitrogen is necessary to meet water quality goals.
References
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BookDOI
Handbook of global optimization
TL;DR: This paper presents algorithms for global optimization of mixed-integer nonlinear programs using the Reformulation-Linearization/Convexification Technique (RLT) and an introduction to dynamical search.
Book
Principles of surface water quality modeling and control
TL;DR: In this paper, the authors introduce the concept of rivers and streams as indicators of water quality, including dissolved oxygen, bacteria, pathogens, and viruses, as well as toxic substances.
Journal ArticleDOI
Multi-stage stochastic optimization applied to energy planning
TL;DR: This paper presents a methodology for the solution of multistage stochastic optimization problems, based on the approximation of the expected-cost-to-go functions of Stochastic dynamic programming by piecewise linear functions.
Journal ArticleDOI
A grey linear programming approach for municipal solid waste management planning under uncertainty
TL;DR: In this paper, a grey linear programming (GLP) model is introduced to the civil engineering area, which allows uncertainties in the model inputs to be communicated into the optimization process, and thereby solutions reflecting the inherent uncertainties can be derived.
Journal ArticleDOI
An inexact two-stage stochastic programming model for water resources management under uncertainty
Guohe Huang,Daniel P. Loucks +1 more
TL;DR: The ITSP is applied to a hypothetical case study of water resources system operation and results indicate that reasonable solutions have been obtained and the information obtained can provide useful decision support for water managers.
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An inexact two-stage stochastic programming model for water resources management under uncertainty
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