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Scheduling optimization of capacitated lot sizing problem based on immune complement algorithm

Producción científica: Conference contributionrevisión exhaustiva

Resumen

There are significant amount of literature on the capacitated lot sizing problem(CLSP) with different levels and approaches. In this article, immune complement algorithm (ICA) was discussed in scheduling optimization of CLSP under the condition of single level, single machine. The affinity function was the total cost which including order , inventory carrying and labor costs. Complement individual was represented by binary to determine order sequence and lot sizing. Experimentation performed with 5 production 6 period indicated that ICA had the characteristics of high speed of convergence, less generations besides approaching best solution, and it could be used in CLSP on medium scale.

Idioma originalEnglish
Título de la publicación alojada2010 International Conference on Computer Design and Applications, ICCDA 2010
PáginasV2221-V2223
DOI
EstadoPublished - 2010
Evento2010 International Conference on Computer Design and Applications, ICCDA 2010 - Qinhuangdao, Hebei, China
Duración: jun 25 2010jun 27 2010

Serie de la publicación

Nombre2010 International Conference on Computer Design and Applications, ICCDA 2010
Volumen2

Conference

Conference2010 International Conference on Computer Design and Applications, ICCDA 2010
País/TerritorioChina
CiudadQinhuangdao, Hebei
Período6/25/106/27/10

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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