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ABSTRACT
This paper is a continuation of the research on evolutionary optimization and their application to modeling computer simulation [1]. The current research concentrates on the systematization of evolutionary optimization methods and development of new types of evolutionary optimization. Formal representation for genetic operations induces a new typology of genetic algorithms. Computational and generative power of different classes of genetic algorithms and operations is described. The obtained results provide a better understanding of genetic algorithms and genetic simulation systems. At the same time, new types of evolutionary processes described in this paper form a base for practical techniques and program systems working in applications where it is necessary to organize optimization concurrently with system functioning.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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