En el mercado de acciones, una rgla de filtro se define como una herramienta técnica que le permite a los agentes involucados definir una estrategia sobre cuándo comprar o vender sus acciones, a partir de la determinación de ciertos parámetros. El asunto crucial radica en cómo seleccionar...

Evolutionary computation has become the popular choice for solving complex problems, which are otherwise difficult to solve by traditional methods. Genetic algorithm (GA) and particle swarm optimisation (PSO) are both population-based heuristic search methods, which are well suited for mining...

In this paper, the production process is decomposed for typical manufacturing small and medium sized enterprises (SMEs) and the metrics of the defined sub processes, based on the requirements of ISO 9001:2008, are developed. The weight values of production process performance indicators are...

Purpose – Enhanced risk management through the application of mathematical optimization is the next competitive‐advantage frontier for the primary‐insurance industry. The widespread adoption of catastrophe models for risk management provides the opportunity to exploit mathematical...

Purpose Email is a rapid and cheapest medium of sharing information, whereas unsolicited email (spam) is constant trouble in the email communication. The rapid growth of the spam creates a necessity to build a reliable and robust spam classifier. This paper aims to presents a study of...

Purpose This paper aims to present a mass customization model for interior spaces of mass housing projects to provide solutions that will increase flexibility in accordance with different user needs. Design/methodology/approach The research project develops a model that generates an expert...

This paper is focused on the concise review of the specific applications of genetic algorithms in forecasting commodity prices. Genetic algorithms seem relevant in this field for many reasons. For instance, they lack the necessity to assume a certain statistical distribution, and they are...

This article tries to connect two separate strands of literature concerning genetic algorithms. On the one hand, extensive research took place in mathematics and closely related sciences in order to find out more about the properties of genetic algorithms as stochastic processes. On the other...

This paper tries to connect the theory of genetic algorithm (GA) learning to evolutionary game theory. It is shown that economic learning via genetic algorithms can be described as a specific form of evolutionary game. It will be pointed out that GA learning results in a series of near Nash...