然后介绍了模拟退火算法的基本过程及其数学基础。
第三章论述了模拟退火算法在产品布局设计中的应用。
Chapter Three discusses the application of simulated annealing algorithm in mechanical product layout design.
本文研究了模拟退火算法在流体饱和孔隙介质参数反演中的应用。
The simulated annealing algorithm is used to determine material parameters of fluid-saturated porous media from surface dynamic response data.
简要地介绍了模拟退火算法，遗传算法，人工神经网络和图论算法在蛋白质结构预测中的应用。
The paper briefly introduces some modern optimum algorithms of simulated annealing, genetic algorithms, neural networks and graphic algorithms in and applied in prediction of protein structure.
研究了模拟退火算法在解决问题过程中存在的过早收敛问题并分析了其原因，提出了相应的改进方案。
It put its most attention on stressing the fast-convergence problem during the process of sa, its causation and the ameliorative scheme.
介绍了多唯下降单纯形和模拟退火法两种数学优化算法。
Two mathematical optimization algorithms including simplex method and simulated annealing are used to solve the constraint optimization problems.
引入模拟退火算法后，有效地解决了这一组合优化的难题。
The introduction of simulating annealing algorithm solves the difficulty in combination optimization effectively.
针对名老中医病例的结构特点，设计了一种基于模拟退火的聚类算法对数据库中病例聚类进行全局优化。
According to characters of herbalist instances, the article designed a clustering arithmetic which based on simulating anneal to optimize the herbalist instances in database.
从实用的角度分析了焊接工件的定位问题，提出了在机器人焊接条件下，基于模拟退火算法的工件位置标定算法。
Based on the analysis of practical workpiece position calibration, an algorithm for calibrating workpiece position based on simulated annealing was carried out for robot welding.
本文分析了近年来出现的一些优化算法，如模拟退火法、遗传算法和趋化性算法等的特点。
This paper analyzes a few optimization algorithms appeared in recent years as simulated annealing, heritage algorithm and chemotaxis algorithm.
此外，利用模拟退火算法成功地解决了该组合优化问题。
In addition, simulated annealing algorithm for the combinatorial optimization problem here is also given.
将模拟退火算法中的退火策略引入到免疫克隆算法中，设计了求解模型的免疫克隆退火算法。
The immune clone annealing algorithm, which is designed by combining annealing tactic of simulated annealing algorithm and immune clone algorithm, is introduced to solve the proposed bi-level model.
通过计算机仿真，验证了该算法对初值的鲁棒性和复原的效果优于基于均匀分布随机扰动量模拟退火盲解卷积算法，提高了收敛到最优解的速度。
Simulation results show that the improved method has better quality, robustness and speed of convergence comparing with simulated annealing algorithm based on uniform distribution random perturbation.
本文应用带记忆功能的模拟退火演算法，结合理论分析和经验法则，通过大量试验确定了一组有效的冷却进度表参数，成功地解决了这个复杂而特殊的背包问题。
By making use of simulated annealing algorithm with memory, and determining a set of effective cooling schedule, the thesis solves this complex and special knapsack problem successfully.
为了解抉这个问题，介绍了一种将遗传算法与模拟退火算法相结合的混合遗传算法，并具体地利用这一优化算法设计了一种常用的二元光学元件——达曼光栅。
In order to solve this problem, a new method is provided based on the Hybrid Genetic Algorithms, and using a emulation program design a common binary optics elements-Dammann Grating.
介绍了一些用于解决堆场空间分配问题的算法，如模拟退火、遗传算法、禁忌算法等。
Introduced a number of algorithms to solve the problem of yard space allocation, such as simulated annealing, genetic algorithms, tabu algorithms.
文中详细地介绍了其原理，并利用模拟退火的跳跃式搜索方法进行算法训练。
The article relates its principles detailedly. And using the jumping search of simulated annealing, we have done algorithm training.
数值测试算例验证了本文的改进模拟退火算法的可行性和高效性。
The numerical test examples are given to demonstrate the feasibility and high-efficiency of the improved SA algorithm proposed in the paper.
提出并建立了三类成品油调合优化问题的非线性规划模型，设计了基于模拟退火法的求解算法。
It presents and builds the non-linear planning models of three kinds of product oil blending optimizing problem, and designs the solving algorithm based on the simulated annealing method.
对比模拟退火算法介绍了非常快速模拟退火算法的流程，并使用非常模拟退火算法计算了椭偏数据。
According to comparing with simulation annealing algorithm the paper introduce very fast simulation annealing algorithm and use VFSA to compute the ellipsometry data.
介绍了一种新的优化设计方法——模拟退火算法，其突出的优点是可以求得全局最优解。
The outstanding advantage of SA is that it can find the global optimum solution.
简要介绍了基于模拟退火思想的粒子群算法的基本原理，并将之应用于盲源分离算法中，以解决基本粒子群算法收敛速度缓慢的问题。
The basic principal of particle swarm optimization based on simulate anneal was introduced and was applied to blind source separation to solve the problem of low searching speed.
该算法不但具备了自适应遗传算法的强大全局搜索能力，也拥有模拟退火算法的强大局部搜索能力。
The new algorithm provides not only with strong global search capability of AGA, but also with strong local search capability of SAA.
该算法不但具备了自适应遗传算法的强大全局搜索能力，也拥有模拟退火算法的强大局部搜索能力。
The new algorithm provides not only with strong global search capability of AGA, but also with strong local search capability of SAA.
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