Multi-objective optimization of layout with functional constraints

Autor: Xiaoxiao Song, Emilie Poirson, Yannick Ravaut, Fouad Bennis
Přispěvatelé: Robotique Et Vivant (LS2N - équipe ReV), Laboratoire des Sciences du Numérique de Nantes (LS2N), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Centrale de Nantes (Nantes Univ - ECN), Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes université - UFR des Sciences et des Techniques (Nantes univ - UFR ST), Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Nantes Université - pôle Sciences et technologie, Nantes Université (Nantes Univ)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Nantes Université (Nantes Univ), Perception, Action, Cognition pour la Conception et l’Ergonomie (LS2N - équipe PACCE), Thales Communication [Cholet] (THALES), THALES [France]
Rok vydání: 2022
Předmět:
Zdroj: Optimization and Engineering
Optimization and Engineering, In press, ⟨10.1007/s11081-022-09754-z⟩
ISSN: 1573-2924
1389-4420
DOI: 10.1007/s11081-022-09754-z
Popis: International audience; The conventional layout problem is concerned with finding the arrangements of components inside the container to optimize objectives under geometrical constraints, i.e., no component overlap and no container protrusion. In this paper, the multi-objective optimization for layout balance and component activity requirements with functional constraints is developed. Integrating the accessibility of components as functional constraints ensures components maintenance or proper operation. However, addressing the functional constraints increase the complexity of the layout optimization. A novel multi-objective optimization algorithm is proposed using the constructive placement and the simulated annealing to search for compromised solutions between the two objectives. Thereafter, a similarity indicator is defined to evaluate how similar optimized layout designs are. The experiments indicate that the proposed optimization approach performs well in ensuring accessibility and efficiently finding high-qualified solutions, where the constructive placement largely contributes to the search for alternatives satisfying constraints.
Databáze: OpenAIRE