Build a Game Dynamical System through the Optimization of the Artificial Fish Swarm Algorithm

Hou Min Wu; Shi Lei Xiao; Feng Qin Chen

doi:10.4028/www.scientific.net/AMM.325-326.1712

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 325-326Build a Game Dynamical System through the...

Build a Game Dynamical System through the Optimization of the Artificial Fish Swarm Algorithm

Abstract:

The artificial fish swarm algorithm is a new bionic optimization algorithm, which focuses on constructing an optimization model of autonomous animats. Researches on it have been applied in many fields. This paper makes an in-depth study of the artificial fish swarm algorithm model, and tries to optimize and expand it for the use of building a game dynamical system, so as to serve as a technical and theoretical reference in designing and applying the game engine of AI movement.

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Periodical:

Applied Mechanics and Materials (Volumes 325-326)

Pages:

1712-1716

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.325-326.1712

Citation:

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Online since:

June 2013

Authors:

Hou Min Wu, Shi Lei Xiao, Feng Qin Chen

Keywords:

AI, Artificial Fish-Swarm Algorithm (AFSA), Dynamical System, Search Behavior, Wandering Behavior

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References

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