Using genetic algorithms to solve the problem in methods, and a series of improvements have been put forward.
在求解方法上采用遗传算法，并作了一系列的改进策略。
A new registration method based on mutual information has been proposed for retinal fundus images, using genetic algorithms to solve transformation parameters.
提出一种基于互信息的视网膜眼底图像配准方法，并采用遗传算法求解待配准图像的变换参数。
The productive method on the initial population is studied by using genetic algorithms to solve the constrained optimization problems. The study gives the new method of initial population evolution.
针对用遗传算法求解约束优化问题时，初始种群产生的方法进行了研究，提出了初始种群产生的一种新方法。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
This paper proposes genetic algorithms using tournament selection, niche count, and violation degree to solve this problem.
该算法采用了两两竞赛的选择算子、聚集度、违约度来处理多目标约束优化。
This paper proposes genetic algorithms using tournament selection, niche count, and violation degree to solve this problem.
该算法采用了两两竞赛的选择算子、聚集度、违约度来处理多目标约束优化。
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