Reducing systemic risk in multiplex networks using evolutionary optimization

Krzysztof Michalak

Abstract

This 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
Author Krzysztof Michalak (MISaF / IBI / DIT)
Krzysztof Michalak,,
- Department of Information Technologies
Pages289-290
Publication size in sheets0.3
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.
DOIDOI:10.1145/3067695.3076099
Languageen angielski
Score (nominal)20
Citation count*
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back