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2012 (Vol. 4, Issue: 11)
Article Information:

Strategic Planning Formulation by using Reinforcement Learning

Naghi, R. Seyedaghaee, S.K. Amirgholipour, Hamid Alinejad-Rokny and Fatemeh Rouhinezhad
Corresponding Author:  Naghi, R. Seyedaghaee 

Key words:  Formulation, reinforcement learning, strategic planning, , , ,
Vol. 4 , (11): 1448-1454
Submitted Accepted Published
November 17, 2011 January 10, 2012 June 01, 2012
Abstract:

This study considers the similarities between strategic planning and reinforcement learning, then formulates the strategic planning to a reinforcement learning problem and solves it by using reinforcement learning methods. Increasing the environmental cataclysm and variations in today's world enforce all organizations such as universities, to have a strategic thought to increasing the effect answering time to their environmental needs, resource wasting reduction, leading the organization to a clear and executable direction and problem determination in On the other hand internal and external views., computers have a key role in today's life. We try to relate between these two subjects. We use recommended method to computerize the strategic planning design for Noshahr-Chaloos Islamic Azad Universi of the university placed in compositional ty of Iran. The results show that the general strategic positionstrategies. Also the results present using intelligent methods to computerize the strategic planning have a very good future, although it is on beginning of its long path.
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  Cite this Reference:
Naghi, R. Seyedaghaee, S.K. Amirgholipour, Hamid Alinejad-Rokny and Fatemeh Rouhinezhad, 2012. Strategic Planning Formulation by using Reinforcement Learning.  Research Journal of Applied Sciences, Engineering and Technology, 4(11): 1448-1454.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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