This study presents an improvement to the mean-variance portfolio optimization model, by considering both the integer transaction lots and a robust estimator of the covariance matrices. Four robust estimators were tested, namely the Minimum Covariance Determinant, the S, the MM, and the...

Alternative scheme is the most important section in the environmental impact assessment (EIA). And the optimization of alternative schemes are the focus research fields in EIA. This paper define the content of alternatives of basin hydropower planning EIA (HPEIA), including the alternative...

In order to develop thermal power plants operational capabilities to face the new operational challenges of electrical power, in this paper we propose an approach to design operational procedures on a drum boiler of a thermal power plant. The proposed approach uses a coupled system of a...

Non-dominated sorting genetic algorithm (NSGA-II) was deployed in this paper for multi-objective thermo-economic optimization of biomass retrofit for an existing solar organic Rankine cycle (ORC) power plant. The existing plant consists of a field of linear Fresnel collectors (LFC), integrated...

How damaging are uncertainty shocks during extreme events such as the great recession and the Covid-19 outbreak? Can monetary policy limit output losses in such situations? We use a nonlinear VAR framework to document the large response of real activity to a financial uncertainty shock during...

The purpose of this research is to create a model for evaluating financial and non-financial motivation of top managers in regional and district management structures. For this purpose, the efficiency of inter-cluster interaction within one federal district is evaluated using a system of factors...

Software specifications are useful to the organizations to enforce a consistent approach in designing, implementing and the maintenance of the software. There are numerous principles employed for the assurance of the quality of the software. Concurrent engineering with Genetic algorithms have...

We proposed and created a methodology to solve a real-world problem, which is a special case of the generalized assignment problem. The problem consists of assigning drivers to harvesters, which will then be assigned to harvest sugarcane in order to maximize daily profit. A set of drivers have...

Behavioral and experimental literature on financial instability focuses on either subjective price expectations (Learning-to-Forecast experiments) or individual trading (Learning-to-Optimize experiments). Bao et al. (2017) have shown that subjects have problems with both tasks. In this paper, I...