The document is a comprehensive tutorial on Cultural Algorithms, authored by Dr. Robert G. Reynolds from Wayne State University. It covers ideational theories of cultural evolution, the computational framework of cultural algorithms, their general features, suitable problems, and the design of cultural algorithms. The document also includes example applications, future directions, and a selected bibliography of related works. Key topics include the integration of genetic algorithms, the role of belief and population spaces, and the application of cultural algorithms in various domains such as optimization and agent-based modeling.
documents/EFTA01125582.pdf
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