The tabu search (TS) method is one of the modern optimization algorithms developed from local search. It is generally used in combinatorial optimization problem.
TS算法属于现代优化算法，是局部领域搜索法的推广，常用于求解组合优化问题。
The standard particle swarm optimization algorithm as a random global search algorithm, because of its rapid propagation in populations, easily into the local optimal solution.
标准的粒子群优化算法作为一种随机全局搜索算法，因其在种群中传播速度过快，易陷入局部最优解。
With local SEO training, you offer a solution to a growing problem and since your company has received Search Engine Optimization certification by the Academy, you build trust.
通过本地化的SEO培训，你能为现存的问题提供解决方案；同时由于贵公司得到了专门院校授予的搜索引擎优化认证，因此更值得信赖。
The GFO employs existing algorithms for the QAP to obtain an initial solution, then applies local search to gain feasibility and optimization.
该算法利用QAP现有算法得到初始解，然后利用局部搜索策略完成解的可行化和优化。
A universal model, learning-competing one, was established to solve NP-Hard optimization problems, in which local search was focused in learning model and global search in competing model.
建立了一种解决NP难组合优化问题的一般性的模式——学习-竞争模式。其中，“学习模式”侧重于个体局部的搜索；
This paper proposes a particle swarm optimization based on local and global combined search.
提出一种基于局部与全局搜索相结合的粒子群算法。
For complex functions with high dimensions, canonical optimization methods are easy to be trapped in local minima and simple random search methods are slow on convergence.
对于高维复杂函数，传统的确定性算法易陷入局部最小，而单一的全局随机搜索算法收敛速度慢。
A deterministic searching algorithm is embedded to improve the optimization performance and enhance the fast convergence during local search.
一个确定的搜索算法嵌入到改进？的优化性能，提高了收敛速度快，在本地搜索。
In solving global optimization, immune algorithm is usually weak in local search, while evolutionary diffusion optimization is weak in global search.
在求解全局优化问题时，通常免疫算法、进化扩散算法分别在局部搜索和全局搜索方面表现较弱。
The experiment result shows that problems of local optimization and premature constringency were resolved with the original group in GA adaptive random search.
试验结果表明，初始种群克服了GA自适应随机搜索局部最优和过早收敛问题。
By adopting adaptive parallel search strategy with orthomutation operator in the memory base, the APIA can strength the ability of local directed search and jump out of local optimization.
该算法采用自适应并行搜索策略，在记忆库中引入定向突变算子，增强算法的局部定向搜索能力，并改善算法早熟的问题。
Chaos optimization is used to search all local optimal points of the entropy function in once searching, which can improve the efficiency of searching threshold.
并利用混沌优化的方法一次寻找出图像熵的多个极值点，提高了阈值寻找的效率。
Chaos optimization is used to search all local optimal points of the entropy function in once searching, which can improve the efficiency of searching threshold.
并利用混沌优化的方法一次寻找出图像熵的多个极值点，提高了阈值寻找的效率。
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