Title
A genetic algorithm for a creativity matrix cubic space clustering: A case study in Mazandaran Gas Company
Abstract
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
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 Aalaei1432.42
Hamed Fazlollahtabar28514.92
Iraj Mahdavi338832.30
Nezam Mahdavi-amiri437139.95
Mohammad Hassan Yahyanejad500.68