Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Engineering
On Critical Infrastructure Interdependency, Polinpapilinho F. Katina, C. Ariel Pinto
On Critical Infrastructure Interdependency, Polinpapilinho F. Katina, C. Ariel Pinto
Engineering Management & Systems Engineering Faculty Publications
Developing effective protection, mitigation, and recovery measures for critical infrastructure (CI) systems is paramount in the wake of increasing natural and manmade hazards, risks, and threats. Influencing protection, rescue, and recovery measures are interplays (i.e., interdependencies) among infrastructure systems. Understanding interdependencies plays an essential role in minimizing and reducing cascading failures among complex interdependent infrastructure systems. This paper asserts that deployment of protection, mitigation, and recovery solutions can have little effect on infrastructure management if infrastructure operators and policymakers have partial understanding of infrastructure interdependencies. Using narrative research, authors illustrate that effective coordination and response for protection, mitigation, and recovery …
System Of Systems Architecture Generation And Evaluation Using Evolutionary Algorithms, Joseph J. Simpson, Cihan H. Dagli
System Of Systems Architecture Generation And Evaluation Using Evolutionary Algorithms, Joseph J. Simpson, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Evolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.