Lessons Learned in Modeling Dynamic Systems using Genetic Programming (original) (raw)
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Lessons in modeling dynamic systems with genetic programming demonstrate the strengths and weaknesses of this approach. Emphasis is placed on practical applications, real-world scenarios, and the unique characteristics of dynamic systems that influence modeling outcomes. Key findings reveal insights into optimization techniques, handling of complexity, and adaptability of genetic programming in various domains.
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