Application of the Hybrid - Multi Objective Immune Algorithm for Obtaining the Robustness of Schedules

• Iwona Paprocka ^[1] ; Aleksander Gwiazda ^[1] ; Magdalena Bączkowicz ^[1]
  1. [1] Silesian University of Technology

     Silesian University of Technology

     Gliwice, Polonia

     
• Localización: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16: San Sebastián, Spain, October 19th-21st, 2016 Proceedings / coord. por Manuel Graña Romay, José Manuel López Guede, Oier Etxaniz, Álvaro Herrero Cosío, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, 2017, ISBN 978-3-319-47364-2, págs. 445-453
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • This paper investigates one approach to the no-wait flow shop scheduling problem with the objective to improve the robustness of created schedules. One of the fundamental objectives is obtaining an optimal solution for this type of complex, large-sized problems in reasonable computational time. For this purpose was used a new hybrid multi-objective algorithm based on the features of a biological immune system (IS) and bacterial optimization (BO) to find Pareto optimal solutions. It is proposed the hybrid multi-objective immune algorithm (HMOIA II). Computational results suggest that proposed HMOIA II enables the obtainment of stable and robust schedules in case of the disturbance.