Reducing systemic risk in multiplex networks using evolutionary optimization
AbstractThis paper concerns the topic of cascading failures in a system containing economic entities. Cascading failures occur when some of the entities fail and, because of the relationships on the market, cause many more entities to fail. In this paper a multiobjective optimization problem is formulated for an economic model involving companies composed of a core-business and a subsidiary-business unit. A multiobjective optimization algorithm is used to solve the optimization problem, thereby making the system more robust against failures. Subsequently, the properties of the optimized system are studied. Solving the proposed optimization problem diminishes the severity of cascading failures occurring in the system and increases the threshold coupling strength between business units for which the cascading failure occurs
|Publication size in sheets||0.3|
|Book||Bosman Peter (eds.): Proceedings of the Genetic and Evolutionary Computation Conferenc (GECCO'17 Companion), 2017, Association for Computing Machinery, ISBN 978-1-4503-4939-0, 1893 p.|
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