One emphasis of this paper is to present a hybrid search algorithm based on grid partitioning.
本文的一个重点是提出了一种基于网格划分的混合搜索算法。
We further propose a possible fast hybrid fractal encoding algorithm which combines existing fast search methods, statistical normalization and frequency domain comparison.
接着进一步提出一种可能的快速混合分形编码的算法，该算法将快速搜索方法、统计规范化、频域比较结合起来。
Genetic-saving hybrid algorithm constructed in this paper is a double -deck pseudo-parallel structure. It makes the best of search methods in different fields.
本文构造的遗传节约混合算法是一个两层的伪并行搜索结构，充分利用了不同的领域搜索方法。
Multistage processing priority was developed for the hybrid flow shop problem and an iterated local search algorithm was used for solving this kind of problem.
针对混合流水车间调度问题，提出了分阶段加工优先级的调度原则，并将迭代局部搜索算法应用于求解此问题。
Hybrid crossovers and intermittent mutation are applied to increase the search capability of the algorithm.
采用混合杂交和间歇变异来提高算法的搜索能力。
Secondly, based on the analysis of the relationship between the processing tasks, a hybrid algorithm combined the filtered beam search algorithm with the local search algorithm is proposed.
其次，在对工序任务之间的逻辑关系深入分析的基础上，提出一种基于过滤束算法思想与基本邻域搜索算法相结合的混合算法。
In a hybrid P2P system, gossip adaptive algorithm promotes the efficiency of resource search.
在混合p2p系统中，散播自适应算法提高了资源搜索的效率。
The proposed hybrid algorithm had the global search ability of chaotic search as well as local search ability of pattern search method.
该优化算法具有混沌优化的全局搜索能力，而模式搜索法则加快了局部寻优性能。
In this paper, based on the neighborhood structure and the tabu list, a tabu Search algorithm based on hybrid neighborhood structure is propsed for solving JSSP.
本论文依据邻域结构和禁忌列表这两个关键点，提出了一种基于混合邻域结构的禁忌搜索算法来对加工车间调度问题进行研究。
The chaos search based hybrid particle swarm optimization (PSO) algorithm is proposed in the paper to avoid the premature phenomenon of PSO, which is applied into the reactive power optimization.
应用粒子群优化算法(PSO)求解电力系统无功优化问题，提出基于混沌搜索的混合粒子群优化算法，以克服P SO容易早熟而陷入局部最优解的缺点。
Thus, we propose a hybrid Immune algorithm (IA) based heuristic containing a simplex algorithm as a sub-search process.
为此，本文提出用一个基于模型特性，包含子搜索过程的混合免疫算法来对问题进行优化。
According to this hybrid trust model, it presents an algorithm constructing a path base on a depth first search, and summarizes the path validation algorithm.
针对该信任模型，提出一种深度优先搜索的路径构建算法，并对路径验证算法进行了概述。
According to this hybrid trust model, it presents an algorithm constructing a path base on a depth first search, and summarizes the path validation algorithm.
针对该信任模型，提出一种深度优先搜索的路径构建算法，并对路径验证算法进行了概述。
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