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Communication Dans Un Congrès Année : 2003

A hybrid optimization method (GA/SQP) for methyl acetate production process by reactive batch distillation

Résumé

The initialization problem of classical optimization techniques (for instance, Sequential Quadratic Programming) is generally crucial for the robustness of the code. This paper presents a contribution to handle this kind of problems by implementation of a hybrid optimization technique based on the successive use of a Genetic Algorithm (GA) and of a classical Sequential Quadratic Programming (SQP) method: the GA is used to perform a first search in the solution space and to locate the neighbourhood of the solution. Then, the SQP method is employed to refine the solution. The optimization of methyl acetate production process by reactive batch distillation serves as an illustration to validate the approach.
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Dates et versions

hal-04104666 , version 1 (24-05-2023)

Identifiants

  • HAL Id : hal-04104666 , version 1
  • OATAO : 2565

Citer

Sofiane Hocine, Sébastien Elgue, Ludovic Montastruc, Catherine Azzaro-Pantel, Michel Cabassud, et al.. A hybrid optimization method (GA/SQP) for methyl acetate production process by reactive batch distillation. ICheaP-6, The sixth Italian Conference on Chemical and Process Engineering, Jun 2003, Pise, Italy. pp.1129-1135. ⟨hal-04104666⟩
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