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Research and application of multi-agent genetic algorithm in tower defense game.

Authors :
Jin, Shaohua
Liu, Lin
Yang, Can
Ke, Jianfeng
Source :
AIP Conference Proceedings. 2018, Vol. 1955 Issue 1, pN.PAG-N.PAG. 7p.
Publication Year :
2018

Abstract

In this paper, a new multi-agent genetic algorithm based on orthogonal experiment is proposed, which is based on multi-agent system, genetic algorithm and orthogonal experimental design. The design of neighborhood competition operator, orthogonal crossover operator, Son and self-learning operator. The new algorithm is applied to mobile tower defense game, according to the characteristics of the game, the establishment of mathematical models, and finally increases the value of the game’s monster. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
1955
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
129246824
Full Text :
https://doi.org/10.1063/1.5033802