Optimization of Procurement Strategy Supported by Simulated Annealing and Genetic Algorithm
摘要
The problem of optimizing purchasing plans in a large enterprise, taking into account non-linear constraints, was analyzed and formalized. A critical review of available methods was made in the context of their potential application. Experimental results using the simulated annealing method and the genetic algorithm are presented and compared.