A Lamarckian Evolution Strategy for Genetic Algorithms
نویسنده
چکیده
A Prolog implementation of a simple Lamarckian evolution module for genetic algorithms is discussed. Lamarckian evolution posits that characteristics acquired during a phenotype's lifetime may be inherited by offspring. Although largely dismissed as a viable evolutionary theory for natural systems, Lamarckian evolution has proven effective within computer applications. The strengths of the implementation discussed here are its speed and simplicity -the latter promoting extensibility and specialization to particular applications.
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