Agent-based simulations, adaptive algorithms and solvers

作者：Paszynski Maciej^*

来源：Journal of Computational Science, 2017, 18: 57-58.

DOI：10.1016/j.jocs.2016.10.012

• Agent-based simulations
• Adaptive algorithms
• Solvers

This is the third special issue of Journal of Computational Science, following the series of Workshops entitled Agent-Based Simulations, Adaptive Algorithms, and Solvers (ABS-AAS) in the frame of the series of International Conferences on Computational Science (ICCS).
In this special issue, we present papers from three different aspects of computational science. The first group of papers concerns soft computing performed using agents, which make individual decisions and performing actions based on their observations of the computing environment. The second group of papers concerns hard simulations performed using finite element method. We focus here either on adaptive finite element method (hp-FEM) or modern isogeometric analysis (IGA-FEM) techniques. Finally, we emphasize the third group of papers, concerning adaptive solvers, for both Soft and hard simulations, utilizing additional knowledge about the topological structure of the mesh, or some memetic algorithms, allowing for local adjustments of the muli-objective optimization techniques.
The series of ABS-AAS workshops is organized by five co-chairmens, including Maciej Paszyfiski, Robert Schaefer and Krzysztof Cetnarowicz from AGH University, Krakow, Poland, David Pardo from the University of the Basque Country, Bilbao, Spain and Victor Calo from King Abdullah University of Science and Technology.

• 出版日期2017-1