Research on Application of the Shortest Path in Game Based on an Improved Genetic Algorithm

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Abstract:

Nowadays, the game industry has entered a period of vigorous development, each game artificial intelligence has become the indispensable one element, so a good design can be seen as the soul of game, in almost all games have a kind of be good to hear or see appearance, the soul is attracted to the core game player. In this paper, the genetic algorithm becomes a new random search and optimization algorithm, the basic idea of the theory of evolution based on Darwin and Mendel genetics. Genetic algorithm for solving multi objective and complexity with the unpredictable nature of the problem, there is there is nothing comparable to this superiority. The shortest path problem of network is abstracted to a minimum spanning tree problem and the limitations of the minimum spanning tree are analyzed. The notion of the node degree is introduced.

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1250-1253

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November 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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