22 October 2001 Gradient-based genetic algorithms in image registration
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Two modifications of Genetic algorithm (GA) are proposed that employ gradient analysis of the fitness function and are integrated with the main genetic procedure. Combination of the relative weighted error factor and adaptive size of the mutation pool accelerates convergence of the iterative process and indicates When the global optimum um solution is found. Local gradient correction of the initial pool during interactions refines the search procedure. Computational experiments show that both modifications can increase efficiency of GA when they are applied to an image registration problem.
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Igor V. Maslov, Izidor Gertner, "Gradient-based genetic algorithms in image registration", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445400; https://doi.org/10.1117/12.445400

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