...问题对识别过程的影响和克服两种优化算法本身的缺陷,利用混合遗传退火算法(hybrid genetic/simulated annealing algorithm,HGSA)寻找HMM初始参数的全局最优解的,提高了系统的效率。
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可以充分利用混合遗传退火算法优异的全局最优搜索能力来寻找具有最大并行率的并行任务序列。
The hybrid GASA can be used to find the parallel test tasks arrange of the maxim parallel efficiency, for it has an excellent ability in searching for the globally optimal solution.
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。
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.
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