You are here

Using the PORS Problems to Examine Evolutionary Optimization of Multiscale Systems

TitleUsing the PORS Problems to Examine Evolutionary Optimization of Multiscale Systems
Publication TypeJournal Article
Year of Publication2013
AuthorsReinhart, Z, Molian, V, Bryden, K
JournalComplex Adaptive Systems: Emerging Technologies for Evolving Systems: Socio-Technical, Cyber and Big Data
Date Published11
Type of ArticleProceedings Paper
ISBN Number1877-0509
Accession NumberWOS:000342564700009
Keywordsevolutionary algorithms, multiseale modelling, optimization

Nearly all systems of practical interest are composed of parts assembled across multiple scales. For example, an agrodynamic system is composed of flora and fauna on one scale; soil types, slope, and water runoff on another scale; and management practice and yield on another scale. Or consider an advanced coal-tired power plant: combustion and pollutant formation occurs on one scale, the plant components on another scale, and the overall performance of the power system is measured on another. In spite of this, there are few practical tools for the optimization of multiscale systems. This paper examines multiscale optimization of systems composed of discrete elements using the plus-one-recall-store (PORS) problem as a test case or study problem for multiscalc systems. From this study, it is found that by recognizing the constraints and patterns present in discrete multiscalc systems, the solution time can be significantly reduced and much more complex problems can be optimized. (C) 2013 The Authors. Published by Elsevier B.V.

Custom 1

Decision Science