A simulated annealing approach to the solution of minlp problems

An algorithm (M-SIMPSA) suitable for the optimization of mixed integer non-linear programming (MINLP) problems is presented. A recently proposed continuous non-linear solver (SIMPSA) is used to update the continuous parameters, and the Metropolis algorithm is used to update the complete solution vec...

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Veröffentlicht in:	Computers & chemical engineering Jg. 21; H. 12; S. 1349 - 1364
Hauptverfasser:	Cardoso, M.F., Salcedo, R.L., de Azevedo, S.Feyo, Barbosa, D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Elsevier Ltd 1997 Elsevier
Schlagworte:	Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization Applied sciences Chemical engineering Exact sciences and technology Mixed integer non-linear programming Simplex Simulated annealing Simplex Mixed integer non-linear programming Simulated annealing Mixed integer programming Non linear programming Algorithm Optimization
ISSN:	0098-1354, 1873-4375
Online-Zugang:	Volltext
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