| 1. | People devised genetic algorithm by simulating the genetic and evolution mechanism of biology
人们模仿生物的遗传和进化机制，提出了遗传算法。 |
| 2. | Genetic algorithm ( ga ) simulating biologic evolution mechanism is stochastic - like search method
遗传算法是模拟生物进化机制而发展起来的随机化搜索算法。 |
| 3. | Genetic algorithm is a global optimization search method , which is based on biological evolutionary mechanisms such as natural selection , heredity and mutation
摘要遗传算法是一种基于自然选择和遗传变异等生物进化机制的全局优化搜索算法。 |
| 4. | A reliable phylogenetic inference will manifest the sequence of evolution , and facilitate our understanding of the history and mechanism of species evolution
一个可靠的系统发生的推断,将揭示出有关生物进化过程的顺序,有助于我们了解生物进化的历史和进化机制。 |
| 5. | At the same time , ga does n ' t have to know every feature of problem , so it can accomplish solution only by genetic procedure embodying evolving mechanism
同时，遗传算法具有不用了解问题本身的全部特征的特点，仅仅通过体现进化机制的演化过程来完成对问题的求解。 |
| 6. | Genetic algorithm solves problem by learning from nature and referring to evolution mechanism of creature , which has wide usage , high stability and concise , and global optimization
遗传算法通过向自然学习，借鉴生物进化机制求解问题，具有广泛的可应用性和高度稳健性、简明性和全局优化性。 |
| 7. | Genetic algorithm ( ga ) is a kind of highly paralel , stochastic , global probability search algorithm based on the evolutionism such as natural selection , genetic crossover and gene mutation
遗传算法是一种基于自然选择、遗传杂效和基因变异等生物进化机制的高度并行、随机、全局性概率搜索算法。 |
| 8. | In order to solve this problem , a new mechanism of cooperative coevolution with local interaction for collective complex cooperation behaviors is proposed based on system theory and nonlinear science theory
针对这一问题，依据系统论和非线性科学理论，构造了一种引入局部交互的群体复杂协作行为协同进化机制。 |
| 9. | Thirdly , genetic algorithm is a kind of search and optimization method simulating the life evolution mechanism , which has the advantages of global optimization and implicit concurrency
遗传算法是一种模拟生命进化机制的搜索和优化方法，与常规优化算法相比，具有隐含并行性和全局搜索特性，因此选择遗传算法进行寻优计算。 |
| 10. | As a considerably large amount of dna sequences become increasingly available , they are widely used to study phylogeny of species and multigene families , as well as the mechanism of evolution at molecular level
基于相当大量的dna序列的获得，其被广泛地用于物种的系统发生、多基因家族的演化，以及在分子水平上的进化机制的研究。 |
