Optimization of Swarm-Based Simulations
Joint Authors
Sarpe, Vladimir
von Mammen, Sebastian
Sarraf Shirazi, Abbas
Jacob, Christian
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In computational swarms, large numbers of reactive agents are simulated.
The swarm individuals may coordinate their movements in a “search space” to create efficient routes, to occupy niches, or to find the highest peaks.
From a more general perspective though, swarms are a means of representation and computation to bridge the gap between local, individual interactions, and global, emergent phenomena.
Computational swarms bear great advantages over other numeric methods, for instance, regarding their extensibility, potential for real-time interaction, dynamic interaction topologies, close translation between natural science theory and the computational model, and the integration of multiscale and multiphysics aspects.
However, the more comprehensive a swarm-based model becomes, the more demanding its configuration and the more costly its computation become.
In this paper, we present an approach to effectively configure and efficiently compute swarm-based simulations by means of heuristic, population-based optimization techniques.
We emphasize the commonalities of several of our recent studies that shed light on top-down model optimization and bottom-up abstraction techniques, culminating in a postulation of a general concept of self-organized optimization in swarm-based simulations.
American Psychological Association (APA)
von Mammen, Sebastian& Sarraf Shirazi, Abbas& Sarpe, Vladimir& Jacob, Christian. 2012. Optimization of Swarm-Based Simulations. ISRN Artificial Intelligence،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-466287
Modern Language Association (MLA)
von Mammen, Sebastian…[et al.]. Optimization of Swarm-Based Simulations. ISRN Artificial Intelligence No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-466287
American Medical Association (AMA)
von Mammen, Sebastian& Sarraf Shirazi, Abbas& Sarpe, Vladimir& Jacob, Christian. Optimization of Swarm-Based Simulations. ISRN Artificial Intelligence. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-466287
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466287