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Image Deformation Estimation via Multi-Objective Optimization
Specifically, by partitioning the template image into several regions and measuring the similarity of each region independently, multiple objectives are built and deformation estimation can thus be realized by solving the MOP with off-the-shelf multi-objective evolutionary algorithms (MOEAs).
SHX: Search History Driven Crossover for Real-Coded Genetic Algorithm
In evolutionary algorithms, genetic operators iteratively generate new offspring which constitute a potentially valuable set of search history.
A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation
We propose a novel genetic algorithm to solve the image deformation estimation problem by preserving the genetic diversity.
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