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                                       Details van artikel 14 van 195 gevonden artikelen
 
 
  A GLOBAL APPROACH FOR NONLINEAR MIXED DISCRETE PROGRAMMING IN DESIGN OPTIMIZATION
 
 
Titel: A GLOBAL APPROACH FOR NONLINEAR MIXED DISCRETE PROGRAMMING IN DESIGN OPTIMIZATION
Auteur: Li, Han-Lin
Chou, Chih-Tan
Verschenen in: Engineering optimization
Paginering: Jaargang 22 (1993) nr. 2 pagina's 109-122
Jaar: 1993-12-01
Inhoud: Most current nonlinear mixed discrete programs can only find locally optimal solutions. This paper proposes an optimization method to find the global solution of a nonlinear mixed discrete program. Based on the fact that: “For a discrete variable xi iff xiε{k1, k1, k2…,km} then (xi-k1) (xi k2)(xi km =0”, the original mixed discrete program is transformed into a penalty optimization program with continuous variables. This penalty optimization program is then solved to find a local optimum. Utilizing the Multi-Level Single Linkage technique, enough starting points are systematically generated to search for most local optima within the feasible region. A global optimum is then found at a pre-specified sufficiently high confidence level such as 99.5%. Some examples of design optimization in literature are tested, which demonstrate that the proposed method is superior to current methods for finding the global optimum.
Uitgever: Taylor & Francis
Bronbestand: Elektronische Wetenschappelijke Tijdschriften
 
 

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