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A genetic algorithm for a creativity matrix cubic space clustering: A case study in Mazandaran Gas Company

Aalaei, A ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.1016/j.asoc.2012.12.011
  3. Publisher: 2013
  4. Abstract:
  5. Creativity is a promoting factor in organizations. Having employees in structured and organized configurations in a creative manner, helps in improving the productivity. We investigate different structural aspects of teams' network organization and the creativity within a knowledge development program (KDP). The proposed methodology being equipped with a heuristic clustering technique, classifies the employees with respect to creativity parameters and configures a creativity matrix. Applying the creativity matrix, clustering is performed via mathematical programming. For large problems, a genetic algorithm (GA) is developed to solve the mathematical model. We also employ the Taguchi method to evaluate the effects of different operators and parameters on the performance of GA. A case study conducted in Mazandaran Gas Company in Iran illustrates the applicability and effectiveness of the proposed methodology
  6. Keywords:
  7. Large problems ; Network organization ; Genetic algorithm ; Intelligent clustering ; Creativity matrixes ; Gas companies ; Heuristic clustering techniques ; Knowledge development ; Creativity matrix ; Cubic space clustering ; Promoting factors ; Structural aspects ; Gas industry ; Mathematical models ; Mathematical programming ; Public utilities ; Taguchi methods ; Genetic algorithms
  8. Source: Applied Soft Computing Journal ; Volume 13, Issue 4 , 2013 , Pages 1661-1673 ; 15684946 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S1568494612005558?via%3Dihub