CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
A Study on the Parallelization of Terrain-Covering Ant Robots Simulations
Authors
D.R. Jefferson
G. Cordasco
+7 more
J. Svennebring
M.W. Macy
P. Richmond
R. Brown
S. Luke
T. Takahashi
W. Marurngsith
Publication date
1 January 2014
Publisher
'Springer Science and Business Media LLC'
Doi
Abstract
Agent-based simulation is used as a tool for supporting (time-critical) decision making in differentiated contexts. Hence, techniques for speeding up the execution of agent-based models, such as Parallel Discrete Event Simulation (PDES), are of great relevance/benefit. On the other hand, parallelism entails that the final output provided by the simulator should closely match the one provided by a traditional sequential run. This is not obvious given that, for performance and efficiency reasons, parallel simulation engines do not allow the evaluation of global predicates on the simulation model evolution with arbitrary time-granularity along the simulation time-Axis. In this article we present a study on the effects of parallelization of agent-based simulations, focusing on complementary aspects such as performance and reliability of the provided simulation output. We target Terrain Covering Ant Robots (TCAR) simulations, which are useful in rescue scenarios to determine how many agents (i.e., robots) should be used to completely explore a certain terrain for possible victims within a given time. © 2014 Springer-Verlag Berlin Heidelberg
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
ART
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:art.torvergata.it:2108/323...
Last time updated on 15/11/2023
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1007%2F978-3-642-5...
Last time updated on 22/07/2021
Archivio della ricerca- Università di Roma La Sapienza
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:iris.uniroma1.it:11573/540...
Last time updated on 12/11/2016