Evolutionary processes in modeling and simulation
M.J. Ades, Mark Burgin · Spring Simulation Multiconference · 2007
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.