نتایج جستجو برای: objective optimization mcdm

تعداد نتایج: 840883  

Journal: :Discrete Applied Mathematics 2013

Journal: :Natural Resource Modeling 2021

This study aims to present an efficient methodology for land use optimization based on minimization of runoff and sediment maximization economic benefits, occupational opportunities, suitability in the Tilabad watershed northeast Iran. The map area was prepared using Landsat satellite images field surveys. amounts were estimated via SWAT model. TOPSIS multicriteria decision-making (MCDM) approa...

2013
M A B Siddique

Planning essentially involves decision making of some kind either by a single or a group of decision makers (planners). Quite often these decision making tasks are loaded with multiple conflicting objectives (goals, criteria etc). It becomes a formidable tasks for the planners to find a compromise solution in such circumstances. The techniques of multiple criteria decision making (MCDM) become ...

2013

A new deployment of the multiple criteria decision making (MCDM) techniques: the Simple Additive Weighting (SAW), and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for portfolio allocation, is demonstrated in this paper. Rather than exclusive reference to mean and variance as in the traditional mean-variance method, the criteria used in this demonstration are the f...

2002
Xuehua Chen Ming Ni J. McCalley

We propose a decision-support aid for control room security economy decision-making that considers probabilistic characteristics of contingencies and load conditions of power systems. The approach is based on use of risk-based security assessment to enable treatment of security level as an objective within multi-criterion decision making (MCDM) techniques. The approach is illustrated using the ...

Journal: :Aeronautics and Aerospace Open Access Journal 2019

Journal: :Int. J. Comput. Syst. Signal 2005
Martin Brown Robert E. Smith

While evolutionary computing inspired approaches to multi-objective optimization have many advantages over conventional approaches; they generally do not explicitly exploit directional/gradient information. This can be inefficient if the underlying objectives are reasonably smooth, and this may limit the application of such approaches to real-world problems. This paper develops a local framewor...

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