Title | ||
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A genetic algorithm for a creativity matrix cubic space clustering: A case study in Mazandaran Gas Company |
Abstract | ||
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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. |
Year | DOI | Venue |
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2013 | 10.1016/j.asoc.2012.12.011 | Appl. Soft Comput. |
Keywords | DocType | Volume |
mazandaran gas company,genetic algorithm,mathematical programming,mathematical model,taguchi method,creativity matrix,creativity parameter,case study,heuristic clustering technique,proposed methodology,different operator,creativity matrix cubic space,different structural aspect | Journal | 13 |
Issue | ISSN | Citations |
4 | 1568-4946 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amin Aalaei | 1 | 43 | 2.42 |
Hamed Fazlollahtabar | 2 | 85 | 14.92 |
Iraj Mahdavi | 3 | 388 | 32.30 |
Nezam Mahdavi-amiri | 4 | 371 | 39.95 |
Mohammad Hassan Yahyanejad | 5 | 0 | 0.68 |