Stratification and sample size of data sources for agricultural mathematical programming models

Using Probabilistic-Risky Programming Models in Identifying Optimized Pattern of Cultivation under Risk Conditions (Case Study: Shoshtar Region)

Using Telser and Kataoka models of probabilistic-risky mathematical programming, the present research is to determine the optimized pattern of cultivating the agricultural products of Shoshtar region under risky conditions. In order to consider the risk in the mentioned models, time period of agricultural years 1996-1997 till 2004-2005 was taken into account. Results from Telser and Kataoka mod...

Measuring and incorporating attitudes toward risk into mathematical programming models : the case of farmers in kavar district iran

Design of single-sampling inspection-plan approach by mathematical programming and linear assignment method

This study proposes a new approach for single-sampling plan by determining sample size and acceptance number. The proposed approach is based on a two-step methodology. In the first step: quality management step, different single sampling inspection plans were generated by running an optimization model for different possible acceptance numbers. While, in the second step: Multi-Attribute Decision...

GENETIC PROGRAMMING AND MULTIVARIATE ADAPTIVE REGRESION SPLINES FOR PRIDICTION OF BRIDGE RISKS AND COMPARISION OF PERFORMANCES

In this paper, two different data driven models, genetic programming (GP) and multivariate adoptive regression splines (MARS), have been adopted to create the models for prediction of bridge risk score. Input parameters of bridge risks consists of safe risk rating (SRR), functional risk rating (FRR), sustainability risk rating (SUR), environmental risk rating (ERR) and target output. The total ...

Mathematical Programming Models for Solving Unequal-Sized Facilities Layout Problems - a Generic Search Method

 This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...