本文提出用智能优化算法模型来指导工业锅炉燃烧过程控制。
An intelligent optimization algorithm was proposed in this paper to direct the control of boiler combustion process.
针对交流变频调速系统，探讨了应用智能优化算法实验建模方法。
Method of. modeling using the intelligent optimization algorithms is discussed for AC variable frequency speed regulation system.
基于智能优化算法求解tsp问题，是近年来刚刚兴起的热门课题。
It is a new hot subject rised in recent years to solve TSP with intelligent optimization algorithms.
蚁群算法是一种新型的用于求解组合优化或函数优化问题的智能优化算法。
Ant colony algorithm is a new intelligent optimization algorithm for solving combinatorial optimization problem or function optimization problem.
本文是作者在攻读硕士学位期间对交通控制以及智能优化算法的一些研究和总结。
This thesis includes the main research and summary of the traffic control and intelligent optimization algorithm, which have been done by the author during his studying for Master Degree.
基于群体进化的智能优化算法在求解过程中存在计算效率低和易于早熟收敛等缺点。
Colony evolution based intelligent optimization algorithms have deficiencies of poor computational efficiency and are prone to premature during the solution process.
目前有多种配网无功规划优化方法，可分为传统优化算法、智能优化算法和混合法。
At present, there are many methods which are used for the optimal capacitor placement, such as Classical Optimization Algorithm, Artificial Intelligence and Hybrid Algorithm.
本文将二者结合起来，研究了群智能优化算法在不同领域中路径规划规划问题的应用。
In this paper, several swarm intelligence optimization algorithm were applied in solving path planning problem in different fields.
免疫算法是模拟生物免疫系统功能的一种智能优化算法，具有解决复杂工程问题的潜力。
Immune algorithm is a kind of intelligent optimization algorithm which simulates the biology immunity system, and has potential to provide novel method for solving problem.
最优化方法是解决最优化问题的理论和算法，主要包括传统优化算法和智能优化算法两大类。
Optimization methods, the theory and algorithm of solving optimization problems, can be divided into two parts, the traditional optimization algorithms and intelligent optimization algorithms.
目前提出的群智能优化算法有蚁群优化算法、粒子群优化算法、人工鱼群算法、人工蜂群算法。
The swarm intelligence optimization algorithm include: ant colony optimization algorithm, particle swarm optimization algorithm, artificial bee colony algorithm and artificial fish swarm algorithm.
微粒群算法是一种新型的智能优化算法，有较强的发现最优解的能力，且算法简单，易于实现。
Particle swarm optimization (PSO) algorithm is a new intelligent one with simple principle which is easy to implement.
滑坡分析最困难的问题在于临界滑动面的搜索，智能优化算法在解决此类问题时有着独特的优势。
The most difficult task in analysis of landslide lies in search of critical slide plane. Intelligence optimization arithmetic has its own spectacular advantage in solving this type issue.
由于群智能优化算法思想简单、易于操作，且对优化函数没有特殊的要求而得到了人们的普遍关注。
It has aroused the universal concern because of its characteristic of simple theory, easier operation, and no special requirements for optimized function.
为了解决以上问题，本文采用智能优化算法来搜寻最优阈值，旨在最大限度地提高寻优效率和寻优精度。
To solve the above problems, this paper adopts intelligent optimization algorithms to search for the optimal threshold, aiming to maximize the efficiency and accuracy.
粒子群优化算法（PSO）是近年来被广为关注和研究的一种智能优化算法，源于对鸟群觅食行为的模拟。
Particle swarm algorithm (PSO), which stems from the simulation of birds flock's looking for food, has been paid attention and researched wildly.
蚁群算法是受自然界蚂蚁觅食过程中，基于信息素的最短路径搜索食物行为启发，提出的一种智能优化算法。
Ant Colony Algorithm (ACA) is an intelligence-optimized algorithm coming from the illumination of food-seeking behavior by ants based on the shortest route of daumone.
另一方面，通过将假设检验的统计思想融入智能优化算法，分别提出了基于假设检验的模拟退火和遗传算法。
In addition, hypothesis-test based simulated annealing (SA) and genetic algorithms are proposed respectively by incorporating the statistical idea of hypothesis test into intelligent algorithms.
将皮革裁剪多轮廓加工空行程路径优化问题归结为广义旅行商问题，提出了一种求解问题的混合智能优化算法。
Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed.
这种调制方法使用基于人工智能优化算法产生脉冲信号的调制方法，对大功率三相PWM变换器进行谐波优化。
This modulation control method applies modern heuristic optimization technique to generate PWM signals which can achieve harmonic optimization of three phase high power PWM converters.
本论文在均值偏移、粒子滤波、无迹粒子滤波及智能优化算法等方面进行了较为深入的研究，取得了一些有益的成果。
This dissertation makes deeply research on the Mean Shift, Particle Filter (PF), Unscented Particle Filter and intelligence optimization algorithm. And some beneficial results are obtained.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
目前，无功优化方法主要有线性规划法，非线性规划法，混合整数规划法，动态规划法等传统的数学优化方法，以及人工智能优化算法。
The algorithm mostly includes the tradition math optimization means, such as linear layout, nonlinear layout, mixed integral layout means, dynamic layout means, and artificial intelligence algorithm.
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