Optimization Interoperability Information Systems by Hami Norelislam (10 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New.

Taschenbuch. Condition: 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. …

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 92 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch.…

Taschenbuch. Condition: 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. …

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.