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An improved evolutionary algorithm is proposed, and then it is used to solve image correlation matching. It has some new features: 1) using multi-parent search strategy and stochastic ranking strategy, which can enhance the search ability and exploit the optimum offspring, 2) two mutation strategies are proposed: low probability mutation strategy for the early mutation, and high probability strategy...
A three-layer fast image matching algorithm based on Evolutionary Algorithm is proposed. It has some new features: 1A strategy from coarse matching to fine matching is adopted. Large numbers of non-matching points will be firstly eliminated by performing coarse matching with circular and cross templates, then a whole template is applied to confirming the final position to reduce the calculation workload;...
An improved gene expression programming (IGEP) is proposed in this paper. It has some new features: 1) introducing a new individual coding; 2) introducing a new way of creating constants; 3) introducing a hybrid self-adaptive crossover-mutation operator, which can enhance the search ability and exploit the optimum offspring. To validate the performance of IGEP, this paper applies IGEP into the solution...
An improved evolution algorithm (IEA) is proposed in this paper. It has some new features: 1) using multi-parent search strategy and stochastic ranking strategy and a simple diversity rules to maintain the diversity of the population; 2) using a hybrid self-adaptive crossover-mutation operator, which can enhance the search ability and exploit the optimum offspring; The algorithm of this paper is tested...
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