提出了一种改进的分层并行演化算法。
An advanced hierarchical parallel evolutionary algorithm (AHPEA) is proposed in this paper.
针对配电网综合规划问题提出一种模糊微分演化算法。
To solve the comprehensive planning of distribution networks, a fuzzy differential evolution algorithm is proposed.
并在此基础上提出了基于差分演化算法的属性约简算法。
And on this basis, an attribute reduction algorithm based on the improved differential evolutionary algorithm was put forward.
在此过程中，无论是全球的并行演化算法的并行化和岛屿模型。
In this procedure, both global parallelization and island parallel evolutionary algorithm models are used.
采用差分演化算法对模型进行了参数优化并进行了计算机模拟。
A differential evolution algorithm was used to optimize the parameters of the model, and then the computer simulation has been carried out.
针对桁架拓扑优化问题提出桁架拓扑和尺寸优化的协同演化算法。
A co evolution algorithm used to solve topology and size optimization of trusses is proposed.
因此，演化算法能够成功解算大规模精馏分离序列优化综合问题。
Therefore, evolutionary algorithm can solve successfully large-scale distillation separation sequence synthesis problem.
本文提出了一种新的求解三维装箱问题的混合模拟退火演化算法。
This paper presents a new hybrid simulated annealing algorithm for three dimensional container loading problem.
进化算法也称演化算法，是一种模拟自然进化过程的随机优化方法。
Evolutionary algorithm called evolutionary algorithms is a kind of stochastic optimization methods by simulating natural evolutionary process.
采用演化算法求解具有组合爆炸特征的精馏分离序列优化综合问题。
Evolutionary algorithm is applied to solve distillation separation sequence optimization synthesis problems that are characteristic of combination explosion.
其中，差分演化算法在数值函数优化方面的性能要优于其它的优化算法。
The performance of DE algorithm is superior to other algorithm in numerical function optimization.
为了提高演化算法的效率，减少优化时间，提出一种多目标模型管理框架。
In order to improve the efficiency of evolutionary algorithm and reduce the optimization time, a multi-objective model management framework was proposed.
第三章阐述了作者对基于个体间相似性变异算子以及自适应演化算法的研究。
The third chapter presents our research on real-code adaptive mutation operator based on the similitude between individuals.
基于演化算法技术，提出一种新的设计思想，实现奇偶校验器的电路自动设计。
Based on evolvable algorithm, this paper proposed a new method for parity check circuit design automatically.
采用实数编码的染色体表示方式，先后自行设计实现了两种演化算法求解tsp问题。
By using real number coding chromosome representation, two evolutionary algorithms to TSP are designed.
实验结果表明了基于动力演化算法的投影寻踪在高光谱影像异常目标检测中的有效性。
The experimental results show that the Projection Pursuit based on dynamical evolutionary approach is an effective means to detect anomaly target in hyperspectral images.
其次，利用一种新的区间编码映射机制，将差异演化算法扩展到求解离散领域优化问题。
Using a new range encoding mapping, the differential evolution algorithm can be used to deal with discrete optimization problem.
针对线性定常闭环系统特征方程的求根问题，提出了一种基于演化算法的实因式分解法。
A real factorization method based on evolutionary algorithms is proposed for finding tbe roots of the characteristic equation of a linear time-invariant closed-loop system.
将差异演化算法应用于机械优化设计问题，具体分析了差异演化算法的基本原理和步骤。
Differential evolution algorithm is applied to optimization problem of mechanical design and the basal theory and steps are analysed.
针对差异演化算法存在早熟收敛和后期求解效率低的缺点，提出一种新型差异演化算法。
This paper proposed a novel differential evolution algorithm to overcome the premature convergence and slow convergent speed during the late evolution in differential evolution algorithm.
用此表结合神经网络和演化算法进行诊断，开发了一个通用型智能旋转机械故障诊断系统。
A common intelligence fault diagnosis system for the rotating machinery can be developed based on this theory.
因此用进化策略、差分演化算法、泛函网络来研究数值计算，有较高的理论价值和实际意义。
So, researching numerical computing by Evolution Strategy, Differential Evolution Algorithm and Functional Networks have higher theory value and practical significance.
利用演化算法与灰关联分析相结合的方法研究了汽车操纵稳定性主客观评价的灰关联性问题。
The grey relationship between the objective and subjective evaluation of motor vehicle maneuverability and stability is studied based on genetic algorithms and grey relation analysis.
介绍了网络路由分析及演化程序的概念，对演化路由算法进行了设计，并给出了演化算法描述。
The conception of network route analysis and evolutionary program is introduced. The algorithm of evolutionary route is designed and the structure diagram is given.
仿真结果表明该算法在搜索效率、应用范围、解的精确性和鲁棒性上都优于其他现存演化算法。
The result shows that it is better than other existing evolutionary algorithms in search efficiency, range of applications, accuracy and robustness of solutions.
人工生命算法(ALA)是一种新兴的演化算法，利用人工生命群体的突现聚类实现全局寻优。
ALA is a new type of evolutionary algorithm, using which could realize emergent colonization of the global optimization.
该方法对差分演化算法的操作算子进行改进，解决了差分演化算法生成离散型测试数据的问题。
This method ameliorated the operators of DE algorithm to avoid the discrete test data generation based on DE algorithm.
使用逆转算子求解TSP的演化算法具有很强全局搜索能力，在求解TSP问题中显示了巨大的优势。
The evolutionary algorithm using inver-over operator for the traveling salesman problem(TSP) has great ascendancy, because its ability in global searching for optimal individual is powerful.
通过对差分演化算法的变异策略改进，使优化后的差分演化算法在函数优化方面性能得到进一步提高。
The mutation strategy was improved so that the optimized DE algorithm performance was further improved on function optimization.
通过对差分演化算法的变异策略改进，使优化后的差分演化算法在函数优化方面性能得到进一步提高。
The mutation strategy was improved so that the optimized DE algorithm performance was further improved on function optimization.
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