ARTICLES

Filter  
Active filters 0
Remove
  

Refine your searches by:

Collections
Economy
Education
Technology
Computing
Mathematics
Computing
Research
Pure sciences
Architecture and Urbanism
Social Sciences
all records (72)

Languages
English
Portuguese
German
Spanish
French

Countries
Indonesia
USA
Brazil
Ukraine
Switzerland
South Africa
Italy
Austria
Romania
Turkey, Turkish Republic
all records (70)

Years
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
all records (24)

Filter  
 
31.411  Articles
1 of 3.142 pages  |  10  records  |  more records»
Reliability and vulnerability (RV) are two very important performance measures but, due to their stage-inseparable nature, they cannot be explicitly incorporated in stochastic dynamic programming (SDP), which is extensively used in reservoir operation. Wi... see more

The aim of this paper is to derive a method for solving a stochastic linear programming problem with Cauchy distribution. Assuming that the coefficients are distributed as Cauchy random variables, the stochastic linear programming is converted to a determ... see more

In recent years, the increase in industry competition has caused costs of production to become a critical success factor. A considerable proportion of manufacturing activities and costs are devoted to the assembly of products. Therefore, in successful ass... see more

In this paper, we have considered the problem of three-stage sample surveys. The problem of a three stage multivariate stratified sample survey has been formulated as a non-linear stochastic programming problem by considering survey cost and the variances... see more

This paper proposes a stochastic bi-level decision-making model for an electric vehicle (EV) aggregator in a competitive environment. In this approach, the EV aggregator decides to participate in day-ahead (DA) and balancing markets, and provides energy p... see more

Demand for any material in a hospital depends on a random arrival rate and random length of stay in units. Therefore, the demand for any material shows stochastic characteristics that make determining the optimum level of r and Q problem more difficult. T... see more

Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in ... see more

In this paper a stochastic adaptive method has been developed to solve stochastic linear problems by a finite sequence of Monte-Carlo sampling estimators. The method is based on the adaptive regulation of the size of Monte-Carlo samples and a statistical ... see more

Stochastic programming problem is mathematical problem (linear, integer, mixed integer, and nonlinier) with stochastic element lies data. To get reasonable solution and optimal with its stochastic data is needed several method.  Applicable method in ... see more

1 of 3.142 pages  |  10  records  |  more records»