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.
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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
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DOI: https://doi.org/10.1007/978-3-540-74581-5_21
Publisher Name: Springer, Berlin, Heidelberg
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