Paper Info
Title
Evolutionary design of agent-based simulation experiments
Abstract
We present CASE (complex adaptive systems evolver), a framework devised to conduct the design of agent-based simulation experiments using evolutionary computation techniques. This framework enables one to optimize complex agent-based systems, to exhibit pre-specified behavior of interest, through the use of multi-objective evolutionary algorithms and cloud computing facilities.
Year
DOI
Venue
2011
10.5555/2034396.2034546
AAMAS
Keywords
Field
DocType
evolutionary computation technique,pre-specified behavior,agent-based simulation experiment,multi-objective evolutionary algorithm,complex agent-based system,complex adaptive systems evolver,present case,evolutionary design,cloud computing facility,evolutionary computation,design of experiments
Interactive evolutionary computation,Evolutionary algorithm,Human-based evolutionary computation,Evolver,Computer science,Evolutionary computation,Artificial intelligence,Evolutionary programming,Complex adaptive system,Distributed computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
0-9826571-7-X
4
0.68
References 
Authors
3
6
Name
Order
Citations
PageRank
James Decraene15010.17
Yew Ti Lee240.68
Fanchao Zeng3132.59
Mahinthan Chandramohan422211.67
Yong Yong Cheng540.68
Malcolm Yoke Hean Low669452.19