Decision-Making Optimization of TMT: A Simulated Annealing Algorithm Analysis

Yueming Chen, Yuhui Ge, Zhiqiang Song, Mingyang Lv

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DOI: 10.4236/jssm.2010.33042                

Abstract

The decision-making of Top management team (TMT) has been a hot point in academic. The paper find out annealing algorithm method can effectively solve the decision-making optimization problem. Through considering the quality and efficiency of decision-making, applying the annealing algorithm, the optimal decision preference sequence is found. Finally, an application case is proposed. Through determining the initial solution, and choosing the solution neighborhood, and setting the cooling function and temperature, with the simulated annealing algorithm, the optimal solution of the decision is achieved.

Keywords

Top Management Team, Simulated Annealing Algorithm, Decision-Making

Conflicts of Interest

The authors declare no conflicts of interest.

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