遗传-多点退火接力混合算法的应用

遗传-多点退火接力混合算法是先进行遗传算法操作,再接力使用模拟退火法操作的一种尝试。其关键在于遗传算法中变异的处理及退火中初始温度和降温值的处理。给出了该方法的基本过程和原型过程的数学描述,对算法中的罚因子,变异情况及温度值的选取进行了分析。通过具体实例的计算结果表明,将此方法用于非线性约束优化是可行的。     

Incorporating Ancestors' Influence in Genetic Algorithms

A new criterion of fitness evaluation for Genetic Algorithms is introduced where the fitness value of an individual is determined by considering its own fitness as well as those of its ancestors. Some guidelines for selecting the weighting coefficients for quantifying the importance to be given to the fitness of the individual and its ancestors are provided. This is done both heuristically and automatically under fixed and adaptive frameworks. The Schema Theorem corresponding to the proposed concept is derived. The effectiveness of this new methodology is demonstrated extensively on the problems of optimizing complex functions including a noisy one and selecting optimal neural network parameters.     

关于抽水蓄能电站水库优化调度的研究

针对某抽水蓄能电站水库运行的特点，在满足电力系统调度要求的前提下，以整个调度周期内总发电收益现值最大为目标建立了优化调度模型。通过径流描述以及应用动态规划法进行优化计算，求解抽水蓄能电站水库优化调度方案。在求解寻优的过程中，既兼顾了面临时段和余留时期的效益，又考虑上水库的天然来水和下水库的区间来水，通过分析表明，所提模型与计算方法是可行和实用的。     

Multiobjective problems: Linear and nonlinear control

In this note, we compare the value of nonlinear and linear control for a multiobjective control problem with a linear time-invariant (LTI) plant. We show that if the performance of a nonlinear feedback controller is measured by the maximum incremental gain, the optimal achievable performance with nonlinear, time-varying control is identical to that achievable by LTI control.     

遗传算法在混合H_2/H_∞优化控制设计中的应用

介绍了现已成为关键智能计算之一的一种新的全局优化搜索算法—遗传算法，并探讨了在混合Ｈ２／Ｈ∞最优指标下优化控制设计中的应用。其最大特点是：本质并行、全局优化，它不要求目标函数连续和可微，比梯度法和随机搜索算法更适合于ＰＩＤ混合Ｈ２／Ｈ∞优化问题。     

机床主轴部件刚度的一种精确的计算方法

将初参数法与优化方法相结合，提出了阶梯主轴部件刚度的计算方法．这一方法很适合在计算机上对多支承主轴的刚度作精确计算．     

Robust Estimation of Rotation Angles from Image Sequences Using the Annealing M-Estimator

A robust method is presented for computing rotation angles of image sequences from a set of corresponding points containing outliers. Assuming known rotation axis, a least-squares (LS) solution are derived to compute the rotation angle from a clean data set of point correspondences. Since clean data is not guaranteed, we introduce a robust solution, based on the M-estimator, to deal with outliers. Then we present an enhanced robust algorithm, called the annealing M-estimator (AM-estimator), for reliable robust estimation. The AM-estimator has several attractive advantages over the traditional M-estimator: By definition, the AM-estimator involves neither scale estimator nor free parameters and hence avoids instabilities therein. Algorithmically, it uses a deterministic annealing technique to approximate the global solution regardless of the initialization. Experimental results are presented to compare the performance of the LS, M- and AM-estimators for the angle estimation. Experiments show that in the presence of outliers, the M-estimator outperforms the LS estimator and the AM-estimator outperforms the M-estimator.     

宽厚板坯双炉加热生产工艺的优化

对宽厚板坯加热过程中,坯料出炉温度波动较大的现象,进行了较详细的分析,找到了解决这一问题的有效途径。通过优化加热炉生产工艺,提高了板坯加热质量,效果显著。     

An effective hybrid genetic algorithm for flow shop scheduling with limited buffers

As a typical manufacturing and scheduling problem with strong industrial background, flow shop scheduling with limited buffers has gained wide attention both in academic and engineering fields. With the objective to minimize the total completion time (or makespan), such an issue is very hard to solve effectively due to the NP-hardness and the constraint on the intermediate buffer. In this paper, an effective hybrid genetic algorithm (HGA) is proposed for permutation flow shop scheduling with limited buffers. In the HGA, not only multiple genetic operators based on evolutionary mechanism are used simultaneously in hybrid sense, but also a neighborhood structure based on graph model is employed to enhance the local search, so that the exploration and exploitation abilities can be well balanced. Moreover, a decision probability is used to control the utilization of genetic mutation operation and local search based on problem-specific information so as to prevent the premature convergence and concentrate computing effort on promising neighbor solutions. Simulation results and comparisons based on benchmarks demonstrate the effectiveness of the HGA. Meanwhile, the effects of buffer size and decision probability on optimization performances are discussed.     

大型汽轮发电机组调峰的综合评价与优化分析

提出对大型汽轮机组调峰运行进行综合评价的方法，并基于煤耗和转子寿命损耗建立了对机组调峰进行总体优化的数学模型。这种以综合评价指标最小为目标进行优化的方法，较以往只考虑单方面的优化方法更科学、合理而且全面。