Resilient Solutions for Dynamic Multi-Objective Constraint Optimization

Tenda OKIMOTO  Maxime CLEMENT  Nicolas SCHWIND  Katsumi INOUE  

D - Abstracts of IEICE TRANSACTIONS on Information and Systems (Japanese Edition)   Vol.J98-D   No.6   pp.884-893
Publication Date: 2015/06/01
Online ISSN: 1881-0225
Type of Manuscript: Special Section PAPER (Special Section on Software Agent and Its Applications)
multi-objective constraint optimization,  dynamics,  resistance,  functionality,  reactive,  

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Systems Resilience is a large-scale multi-disciplinary research that aims to identify general principles underlying the resilience of complex systems. Schwind et al. [1] recently adopted a computational point of view of Systems Resilience, and defined a resilient system as a dynamic constraint-based model called SR-model. In this paper, we introduce the framework of a Dynamic Multi-Objective Constraint Optimization Problem (DMO-COP). Then, we focus on two properties of interest underlying the resilience of DMO-COPs: resistance and functionality. Furthermore, we provide an algorithm called Algorithm for Systems Resilience Applications (ASRA) and evaluate it with different types of dynamical changes.