This paper identifies a fundamental challenge in the development of input-output databases of the world economy intended for analysis of alternative scenarios with a model of the world economy. Primary data sources for individual economies generally do not use the same sectoral classification...

Adoption of feasible location science is gaining more interest in the field of Facility Layout Design (FLD) problems among working researchers group. Many methods such as MCDM, Heuristics and Intelligent approaches are available to solve the FLD problems. However in reality, finding the feasible...

In the Input-Output Analytic framework, production (X) is related to final demand (C) through the B [while B= INV(I-A), where A is the technical coefficients matrix and INV(.) means inverted (.)], such that X=BC. Generally, the elements of A and C are considered to be non-stochastic and...

Existing compartmental models in epidemiology are limited in terms of optimizing the resource allocation to control an epidemic outbreak under disease growth uncertainty. In this study, we address this core limitation by presenting a multi-stage stochastic programming compartmental model, which...

Consider a decision maker who has to choose one of several alternatives, and who is imperfectly informed about the payoff of each of them. In each period, the decision maker has to decide whether to stop and take one of the alternatives, or to continue researching the alternatives. New...

Purpose: We aim to generalize the continuous-time principal-agent problem to incorporate time-inconsistent utility functions, such as those of mean-variance type, which are prevalent in risk management and finance. Design/methodology/approach: We use recent advancements of the Pontryagin maximum...

The R package DEoptim implements the differential evolution algorithm. This algorithm is an evolutionary technique similar to genetic algorithms that is useful for the solution of global optimization problems. In this note we provide an introduction to the package and demonstrate its utility for...

This paper is concerned with analytical models and methods for reliability planning, optimization, and operation of telecommunication networks. The difference between classical models of reliability and models developed here is that the last ones take into account the economy is often an...

I jointly treat two critical issues in the application of mean-variance portfolios, i.e., estimation risk and portfolio instability. I find that theory-based portfolio strategies known to outperform naive diversification (1/N) in the absence of transaction costs, heavily underperform it under...

When estimating higher-order derivatives of a partial differential equation, it is often essential to compute approximations for artificial boundaries. In this paper we formulate an explicit discretization model for approximation of beta-coefficient of Capital Asset Pricing Model (CAPM). The...