1.A simple and efficient global optimization method, Accelerated Controlled Random Search (ACRS), is presented in this paper.
本文给出一种简单、有效的全局优化方法——加速的控制随机搜索法。
2.Using the accelerated controlled random search (ACRS) to perform the canonical piecewise-linear modeling, this method overcomes the difficulties of multiminimum in the modeling.
GOM法使用加速控制随机搜索法(ACRS)进行法式分段线性建模,克服了建模过程中的多极值困难。
3.Genetic algorithm is a random search algorithm that simulates natural selection and evolution. It searches through the total solution space and can find the optimal solution globally over a domain.
遗传算法是一种模拟自然选择和进化的随机搜索算法,它的搜索能够遍及整个解空间,容易得到全局最优解.
5.HEURISTIC GRAPH SEARCH ALGORITHM RA ON RANDOM PRODUCTION SYSTEM AND A GENERALIZATION OF A
随机产生式系统的启发式图搜索算法RA及A的推广
6.It is only to supply the spinning mode of fool design，it can store 200 fool technics and can search or transfer in random.
该工艺仅为提供傻瓜式的纺纱方式，该工艺可存贮傻瓜工艺，并可
随意查询与调用200个具体的方法。
7.A genetic algorithm (GA) based on building block recognition was proposed, in which building block candidates were recognized in evolving process to speed up the search so as to avoid the blindness of GA random searching.
摘要提出了一种基于积木块识别的遗传算法，该算法通过对进化过程中的候选积木块进行识别与利用来加速搜索，从而避免遗传算法随机搜索的盲目性。
