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, 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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