%0 Conference Proceedings
%T Interactive Design Optimization of Layout Problems
%+ Laboratoire des Sciences du Numérique de Nantes (LS2N)
%+ Thales Communication [Cholet] (THALES)
%+ Robotique Et Vivant (LS2N - équipe ReV)
%A Song, Xiaoxiao
%A Poirson, Emilie
%A Ravaut, Yannick
%A Bennis, Fouad
%< avec comité de lecture
%@ 978-3-030-85913-8
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS 2021)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V 634
%N Part V
%P 387-395
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85914-5_41
%K Layout problem
%K Hybrid constructive placing strategy
%K Interactive design
%Z Computer Science [cs]/Operations Research [math.OC]
%Z Computer Science [cs]/Human-Computer Interaction [cs.HC]Conference papers
%X Layout optimization plays an important role in the field of industrial engineering. The layout problem presented here involves the real and virtual rectangular components. The real components can be the devices or buildings depending on the application. The space of accessibility associated with the real component is virtual, which allows the user to access the real component in reality, such as facility maintenance. However, most of the layout problems are NP hard. The great complexity of layout problems increase the difficulty in finding a feasible layout design in a reasonable time. To resolve these problems, we propose a hybrid constructive placing strategy which makes the search of feasible designs easier. The multi-objective application presented in this study demonstrates the effectiveness and portability of the method. Since the number of optimal layout designs can be very large, a cluster approach is followed to group all similar solutions. First, the notion of pairwise similarity indicator is introduced to analyze the similarity among the optimized layout designs. Second, the visualization of the hierarchical clustering of similarity matrix is customized. Then for each design, the user can interact with it by locally modifying the position or rotation of the component. The interactivity helps the user evaluate performance of the designs and preferable results are typically achieved.
%G English
%Z TC 5
%Z WG 5,7
%2 https://hal.science/hal-03553943/document
%2 https://hal.science/hal-03553943/file/hal-03553943.pdf
%L hal-03553943
%U https://hal.science/hal-03553943
%~ UNIV-NANTES
%~ INSTITUT-TELECOM
%~ CNRS
%~ EC-NANTES
%~ UNAM
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ LS2N
%~ LS2N-PACCE
%~ LS2N-REV
%~ INSTITUTS-TELECOM
%~ NANTES-UNIVERSITE
%~ UNIV-NANTES-AV2022
%~ NU-CENTRALE
%~ IFIP-AICT-634