Abstract
Agent-based coding genetic algorithms (AGA) is proposed by combining agent basic theory and encoding methods with agent attribute because simple genetic algorithms (SGA) cannot solve complex problem with good result or without reasonable solution. AGA algorithm is based on individual structure description. In the paper, AGA environment structure and agent structure and genetic operator target function are defined, and verified AGA with a test function and applied it to model combat situation and implement its simulation.
Supported by Excellence Person with Ability Training Special Item Outlay Imburse of Beijing under Grant No. 20042D0500508.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Srinivas, M.: Genetic algorithms: a survey. Computer 27(6), 17–26 (1994)
Hofbaur, M.W.: Hybrid Estimation of Complex Systems. Systems, IEEE Transactions on Man and Cybernetics, Part B 34(5), 2178–2191 (2004)
Shou-yun, W., Jing-yuan, Y.: The opened and complex huge system, pp. 32–66. ZheJiang Science Tech. Press, Zhe Jiang (1995)
Chen, S.-w.: Complex science and system engineering. Transaction on management science 2(2), 1–7 (1999)
Tan, Y.-j.: Space dynamic modeling of Complex economy system. System engineering theory and practice 10, 9–13 (1997)
Deng, H.-z.: Research on problem of complex system by agent based whole modeling simulation method. System engineering 18, 73–78 (2000)
Xu, X.-w., Wang, S.-y.: Modern combat simulation. Science Press, Beijing (2001)
Li J.-w.: Agents path searching in real dynamic environment. Robot, 26.1 (2004)
Xu, X.-z.: Distributed interaction scene simulation of battlefield situation info. System simulation transaction, 13.S (2001)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, Y., Zhang, G., Liu, J. (2007). Agent-Based Coding GA and Application to Combat Modeling and Simulation. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-74581-5_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74580-8
Online ISBN: 978-3-540-74581-5
eBook Packages: Computer ScienceComputer Science (R0)