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Performance of four meta-heuristics to solve a forestry production planning problem
2020
Caderno de Ciências Agrárias
The use of artificial intelligence as a tool to aid in the planning of forest production has gained more and more space. Highlighting the metaheuristics, due to the ability to generate optimal solutions for a given optimization problem in a short time, without great computational effort. The present study aims to evaluate the performance of the metaheuristics Genetic Algorithm, Simulated Annealing, Variable Neighborhood Search and Clonal Selection Algorithm applied in a model of regulation of
doi:10.35699/2447-6218.2020.15891
fatcat:axapypegazbvrk3z5eritcbamu