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

作者：Aalaei Amin; Fazlollahtabar Hamed; Mahdavi Iraj^*; Mahdavi Amiri Nezam; Yahyanejad Mohammad Hassan

来源：Applied Soft Computing, 2013, 13(4): 1661-1673.

DOI：10.1016/j.asoc.2012.12.011

• Creativity matrix
• Intelligent clustering
• Cubic space clustering
• Genetic algorithm

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%26apos; 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.

• 出版日期2013-4