Ruhollah Sohrabi - Department of Public Administration, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
Vahid Chenari - Department of Public Administration, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
Mohammad Hemati - Department of Management, Semnan Branch, Islamic Azad University, Semnan, Iran
Mehrdad Hamrahi - Department of Management, Kazerun Branch, Islamic Azad University, Kazerun, Iran

Some of the important and effective issues of HRM and senior managers of knowledge-based organizations are maintaining and improving the commitment level of employees who are the most valuable resources of these organizations. So, this study was conducted to determine and rank organizational commitment factors in knowledge-based organizations using the multi-objective gray wolf optimizer (MOGWO). The study was conducted using a mixed method (qualitative and quantitative) and is applied in terms of objectives and descriptive. The statistical population was selected using exploratory factor analysis (EFA) and included ۲۰۰ senior managers of knowledge-based companies in Tehran and Alborz provinces, and the sample size was calculated as ۱۳۲ using Cochran's formula. The best employee commitment (optimal) factors, which were ۴۲ factors, were determined using the MOGWO. Finally, the SWARA method was used to weigh and rank the principal and sub-components from the opinions of ۱۶ experts who were selected by purposive sampling, and it was found that corporate culture is the most important aspect of optimizing employee commitment in knowledge-based organizations. In today's changing and highly competitive environment, organizations must focus more on employee commitment to survive. Besides, knowledge-based organizations should use process re-engineering in human resource processes and working conditions to improve employee commitment levels.

organizational commitment, multi-objective optimization, gray wolf algorithm, Knowledge-based organizations