The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand function is shown in the first section of the article. Next the method of identification of the function parameters using genetic algorithms is discussed. In the final section an...

In this paper we compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, seventy test functions have been chosen. Among these test functions, some are new while others are well known in the literature; some are...

The design of supply chain networks subject to disruptions is tackled. A genetic algorithm with the objective of minimizing the design cost and regret cost is developed to achieve a reliable supply chain network. The improvement of supply chain network reliability is measured against the supply...

The selection of optimal portfolios is the central problem of financial investment decisions. Mathematically speaking, portfolio selection refers to the formulation of an objective function that determines the weights of the portfolio invested in each asset as to maximize return and minimize...

The objective of this paper is to develop an algorithm to create an Optimum Portfolio from a large pool of stocks listed in a single market index SPX 500 Index: USA (for example) using Genetic Algorithm. The algorithm selects stocks on the basis of a priority index function designed on company...

The nearest correlation matrix problem is to find a valid (positive semidefinite) correlation matrix, R(m,m), that is nearest to a given invalid (negative semidefinite) or pseudo-correlation matrix, Q(m,m); m larger than 2. In the literature on this problem, 'nearest' is invariably defined in...

Exploring the short-run and long-run relationships between consumption of various sources of non-renewable energy, economic growth and carbon dioxide (CO2) emissions would be considered as a golden key to provide rational energy policies of Iran in the post sanctions era. The aim of this paper...

The main aim of this contribution is an analysis of the causal relationship between the total energy consumption in the Polish economy and GDP. In order to assure the correctness of computations a third variable – employment – was included in the dataset. Calculations performed for the...

This study examines the causal relationship between carbon dioxide emissions, energy consumption and real output within a panel vector error correction model for six Gulf Cooperation Council (GCC) countries namely Bahrain, Kuwait, Saudi Arabia, Qatar and United Arab Emirates over the period...

This study runs a cointegration analysis on annual data from 1980 to 2007 to investigate the relationship between primary energy consumption, economic growth and net inflows of foreign direct investment with the Engle and Granger method, Stock-Watson dynamic ordinary least squares (DOLS), the...