Ant algorithm is a newly emerged stochastic searching optimization algorithm in recent years.
蚂蚁算法是一种新兴的随机搜索优化算法在近几年。
Ant colony system is a novel emerged stochastic searching optimization algorithm in recent years.
蚁群算法是近年来新出现的一种随机搜索寻优算法。
Artificial ant algorithm is a novel simulated evolutionary algorithm, also a newly stochastic and intellectual searching optimization.
人工蚁群算法是一种新型的模拟进化算法，也是一种随机型智能搜索寻优算法。
A kind of simplex algorithm that its constringency coefficient and expanding coefficient are been changing appropriately in the process of searching optimization values is developed.
研究一种收缩系数和扩展系数适时适当变化的单纯形优化学习算法。
Based on the initial value sensitivity of chaotic motion and the analysis of optimal searching process, a parallel adaptive chaotic optimization (PACO) method is proposed.
基于混沌运动的初值敏感性和对混沌优化搜索过程的分析，提出了并行自适应混沌优化方法。
Traditional optimization techniques search for the best solutions using gradients or random searching.
传统的最优化技术大多是基于梯度寻优技术或随机搜索的方法。
To improve the searching performance of Particle Swarm Optimization (PSO), a modified PSO algorithm with flying time adaptively adjusted was proposed and named FAA-PSO algorithm.
为改善粒子群优化算法的搜索性能，提出一种飞行时间自适应调整的粒子群算法(FAA - P SO)。
Competitive algorithm is a parallel heuristic optimization algorithm, its searching mechanism simulate the pursue motive to the support-rate in the electing activity.
竞选算法是一种具有并行能力的启发式优化算法，其搜索机制模拟竞选活动中对支持率的追求动机。
It has strong robustness and searching ability in whole region, so it can solve most of the optimization problems in practical projects.
由于其具有较强的鲁棒性和全局搜索能力，因此能够有效地解决实际工程中的许多复杂的优化问题。
Thus , the optimization design of the retaining and protecting system is the procedure of alternative searching between these two spaces.
基坑支护优化设计就是对方案空间和细部结构空间进行交替搜索的过程。
As a new type of searching method for global optimization, Genetic algorithms has some merits such as intelligence searching, parallel mode, robust and wide application.
遗传算法作为一种新的全局优化搜索方法，具有智能性搜索、并行式计算、鲁棒性强、应用范围广等优点。
The algorithm is a random searching algorithm in nature. It can converge to the global minima more probability and be adept in continuous functions optimization.
该算法本质上是一种随机搜索算法，并能以较大概率收敛到全局最优，特别适用于连续函数的优化。
Based on the recently developed new intelligent optimization idea: artificial ant system, we proposes a quick ant searching algorithm for solving VRP.
基于近些年出现的新型智能优化思想：人工蚂蚁系统，给出了一种可快速求解VRP的蚂蚁搜索算法。
The application shows that this method is capable of searching the entire solution space in order to find the global optimum, and it is effective and feasible to highway plane optimization design.
实践表明：该方法具有全局解空间搜索能力，从而实现了全局寻优的目的，对公路平面优化设计是有效、可行的。
In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope.
研究提出局部脱耦方法用以简化问题规模、缩小搜索空间，选择特征统计算法进行优化方案的搜索。
Taking the design and development of searching the lyrics in VB as an example, the paper gives out the optimal way to program optimization processing.
以歌词搜索为例在VB开发环境中设计开发，并给出了程序优化处理的方法。
This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).
文章把混沌优化搜索技术引入到P SO算法中，提出了基于混沌搜索的粒子群优化算法。
Combining a heuristic random searching strategy with local optimal algorithms is effective solution for complex optimization problem.
启发式随机搜索策略和局部优化算法相结合的求解方案是解决复杂函数优化的有效途径。
The method proposed in this paper can be applied to GA for solving constrained optimization problem, to improve the application performance and the searching performance of GA.
该方法可以应用于求解约束优化问题的遗传算法，有效改善遗传算法的应用性能和搜索性能。
It makes a searching for all local optimization of the multimodal function that a PSO algorithm based on chaos sequence for multi-modal function optimization.
基于混沌序列的多峰函数微粒群寻优算法的目标就是找到多峰函数的所有局部优化峰值。
GA to solve constrained optimization problem is searching the feasibility answers satisfied the constraint condition in the global genetic type space.
遗传算法求解有约束组合优化问题是对目标函数在整个遗传空间中搜索满足约束条件的可行解。
In the case retrieval, a new layered searching strategy and similarity measurement method are given. A multi-goal optimization method is proposed to optimize the cutting parameters.
在检索相似实例中采用了分层检索策略和相应的相似度分层计算方法，并应用多目标的优化方法对加工参数进行优化。
Find the appropriate strategy on account of searching algorithm in searching engines is essential of optimization in searching engines.
针对搜索引擎的搜索算法找出相应的优化策略，才是搜索引擎优化的本质。
This model includes a historical database, a procedure of searching for the nearest neighbor subset and its optimization algorithm and the technique of predict and estimation.
该模型包括历史样本数据库、近邻子集搜索程序、近邻子集优化算法和预报量估计技术。
Lagrange solution is employed to convert the constrained optimization problem and bisection method is used to reach a fast convergence in searching for the optimize Lagrange multiplier.
该算法利用拉格朗日算法将约束条件下的最优化问题进行转化，并采用对分算法加快搜索最优拉格朗日乘子的收敛速度。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
This paper proposes a direct search algorithm for global optimization and multi-peak searching of functions with boundary constraints.
针对边界约束函数全局最优化和多峰寻优问题，提出一种直接搜索算法。
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