Adaptations of a resources system selection problem of Distributed/Agile/Virtual Enterprises for using genetic algorithms

• Main Author: Ávila, Paulo
• Publication Date: 2014
• Other Authors: Mota, Alzira, Putnik, Goran, Costa, Lino
• Format: Article
• Language: eng
• Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Download full: http://hdl.handle.net/10400.22/23096
• topic: Distributed/Agile/Virtual Enterprises; Resources System Selection Problem; Exact Algorithms; Genetic Algorithms

The selection of resource systems is still a difficult matter to solve in distributed / Agile / Virtual enterprises ( D/A/V Es ) integration. Attempts to solve the resources selection problem, has originated several models and consequently different algorithms have been applied to obtain solutions. The exact algorithms have good performance (in terms of computational time) for low dimension problems. However, become ineffective as the complexity increases. Genetic algorithms are considered robust and versatile. These have been applied to complex problems in several application areas and gained popularity in innumerable research works. To improve the computational time in solving the resources selection problem, we pretend to apply a genetic algorithm. Due to the characteristics of the model, the application of this algorithm forced adjustments in the initial model. In this work, we present the adaptations performed in the study model in order to use genetic algorithms.