16 December 1992 Global convergence of genetic algorithms
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Abstract
We extend an approach to global convergence for genetic algorithms via a homogeneous Markov chain argument that does not depend on mutation. Our result is a proof of convergence to a set of populations which contain the optimal.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gunar E. Liepins, "Global convergence of genetic algorithms", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130817; https://doi.org/10.1117/12.130817
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