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Based On The Classification Behavior Choices Of The Artificial Life's Gene Evolution Algorithm's Research

Posted on:2009-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:Z ChenFull Text:PDF
GTID:2178360245982716Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Artificial Life have a broad concept, a true artificial life body is able to independently decide their own behavior, and this paper is one of the issues of artificial life based on the priority of the issue of choice. Some reference has been "to Stimulate-Driver" mechanism "based on the motivation" of combining the mechanism to consider the external and internal motivation to stimulate both the impact of choice, we have created artificial life of the cluster, escape, predation Simple acts, such as model, based on the model of the personal life of survival and social activities. We have established the model at a lower price under a better performance for real-time observation and treatment.The model established by the act, using C++ programming language as a code to achieve the artificial life of the conduct, behavior-based considerations, choice of speed and vision gene, and use of binary code, the evolutionary algorithm using genetic analysis, through the genetic code , The crossover and mutation, and artificial life of the genetic, reproductive and genetic mutations.The establishment of simulation platform, the platform in the creation of a virtual world, artificial life inside the body as a target growth (aging), the stress response, energy exchange can be conducted (with the consumption of food consumption) and so on life and reproductive characteristics, constructed Customization of the artificial life and realized the reality of the ecological system of artificial life of escape, predation, reproductive, gathered in groups such acts, and received a series of experimental gene data, statistical analysis of these data, we found that artificial life in the evolution of genes In the realization of the innate nature of the genetic, and other basic law of survival of the fittest.
Keywords/Search Tags:artificial life, the choice of models, genetic algorithms, fitness
PDF Full Text Request
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