This book proposes a new global optimization method called MPSO-SA. This hybrid method is the result of coupling a variant of the Particle Swarm Optimization (MPSO) algorithm with the Simulted Annealing (SA) method. Stochastic methods have made considerable progress in solving optimization problems. These include the Particle Swarm Optimization (PSO) method developed by [Eberhart and Kennedy (1995)]. As for the simulated annealing (SA) method, it is derived from the physical process of ordering the atoms of a crystal to form a perfect crystalline structure. To illustrate the performance of the proposed MPSO-SA method, a comparison is made with MPSO and SA on test functions known from the literature. The MPSO-SA method is used to solve real-life interoperability problems in information systems, as well as optimization and reliability problems in mechanical structures.
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Paperback. Etat : new. Paperback. This book proposes a new global optimization method called MPSO-SA. This hybrid method is the result of coupling a variant of the Particle Swarm Optimization (MPSO) algorithm with the Simulted Annealing (SA) method. Stochastic methods have made considerable progress in solving optimization problems. These include the Particle Swarm Optimization (PSO) method developed by [Eberhart and Kennedy (1995)]. As for the simulated annealing (SA) method, it is derived from the physical process of ordering the atoms of a crystal to form a perfect crystalline structure. To illustrate the performance of the proposed MPSO-SA method, a comparison is made with MPSO and SA on test functions known from the literature. The MPSO-SA method is used to solve real-life interoperability problems in information systems, as well as optimization and reliability problems in mechanical structures. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9786208850364
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch. N° de réf. du vendeur 9786208850364
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Taschenbuch. Etat : Neu. Optimization and interoperability of information systems | Norelislam El Hami | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786208850364 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 133647756
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Paperback. Etat : new. Paperback. This book proposes a new global optimization method called MPSO-SA. This hybrid method is the result of coupling a variant of the Particle Swarm Optimization (MPSO) algorithm with the Simulted Annealing (SA) method. Stochastic methods have made considerable progress in solving optimization problems. These include the Particle Swarm Optimization (PSO) method developed by [Eberhart and Kennedy (1995)]. As for the simulated annealing (SA) method, it is derived from the physical process of ordering the atoms of a crystal to form a perfect crystalline structure. To illustrate the performance of the proposed MPSO-SA method, a comparison is made with MPSO and SA on test functions known from the literature. The MPSO-SA method is used to solve real-life interoperability problems in information systems, as well as optimization and reliability problems in mechanical structures. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9786208850364
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. N° de réf. du vendeur 9786208850364
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes a new global optimization method called MPSO-SA. This hybrid method is the result of coupling a variant of the Particle Swarm Optimization (MPSO) algorithm with the Simulted Annealing (SA) method. Stochastic methods have made considerable progress in solving optimization problems. These include the Particle Swarm Optimization (PSO) method developed by [Eberhart and Kennedy (1995)]. As for the simulated annealing (SA) method, it is derived from the physical process of ordering the atoms of a crystal to form a perfect crystalline structure. To illustrate the performance of the proposed MPSO-SA method, a comparison is made with MPSO and SA on test functions known from the literature. The MPSO-SA method is used to solve real-life interoperability problems in information systems, as well as optimization and reliability problems in mechanical structures. N° de réf. du vendeur 9786208850364
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