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.
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.
该法先将实因式分解问题转化为数值优化问题，再用基于混合杂交与间歇变异的演化算法求解该优化问题。
The proposed method transfers the real factorization problem into a numeric optimization problem, which is solved by an evolutionary algorithm based on hybrid crossovers and intermittent mutation.
建立了钻井布局问题的数学模型，设计了基于偏序关系求解钻井布局问题的演化算法，得到了理想的计算结果。
An evolution algorithm is designed for solving the partial ordering relation, by which an ideal method is obtained for calculation.
近十几年来，一类称之为演化计算的算法已日渐趋于成熟，并在许多领域之中得以应用。
In the recent decade, an algorithm named Evolutionary Computation has become mature and been applied to many areas.
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.
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.
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.
通过混合使用多种杂交算子并辅之以间歇变异，提出了一种求解高维复杂函数全局优化问题的新型演化算法。
A new evolutionary algorithm based on hybrid crossovers and intermittent mutation for global optimization of complex functions with high dimensions is proposed.
提出了随机结构响应密度演化分析的映射降维算法。
A mapping-based dimension-reduction algorithm for probability density evolution analysis of stochastic structural responses is proposed.
针对供应链网络优化领域中的混合流水作业调度问题提出了一种新的多目标演化优化算法。
A new evolutionary algorithm for solving multi-objective hybrid flow shop scheduling problem(HFSP) which is an important topic in supply chain network optimization is presented.
粒子群优化(PSO)算法是一类新兴的随机优化技术，其思想来源于人工生命和演化计算理论。
Particle swarm optimization (PSO) is a new stochastic optimization technique originating from artificial life and evolutionary computation.
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.
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.
为了保证搜索到更优解，提出了一种新的演化策略改进方法，以提高其全局寻优能力，并将其应用到分割算法中。
To make sure that the algorithm can reach the global optimized resolution, a novel method is proposed to improve the globally researching capability of canonical evolution strategy.
王希诚，张海蕾，受随机激励作用结构的演化设计算法，全国固体力学学术会议，大连，2002。
Wang Xicheng, Zhang Hailei, Evolutionary Algorithm for Solving the Structural Dynamic Optimization with Random Excitation, The national conference on solid mechanics 2002, Dalian.
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.
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.
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.
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.
为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。
A new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.
演化设计方法以演化算法或演化思想为理论基础，具有较强的自组织、自适应能力，同时具有并行性和全局性等特点。
The evolution method is based on the theory of evolution algorithm and evolution thinking with self-organization, self-adaptation and characteristics of parallelism and global.
改进后的遗传算法通过二次演化能够有效地避免算法中容易陷入局部最优值的缺陷。
Improved Genetic Algorithms can avoid the defect of reaching the part best value easily by the twice evolution.
针对BP人工神经网络所存在的缺陷，结合差异演化算法，提出了基于DE - BP神经网络的旅游客源预测模型。
Aiming at the defects of BP artificial neural network, combined with Differential Evolution Algorithm, the paper proposes a tourist quantity prediction model based on DE-BP neural network.
提出了一种基于曲线演化的非监督式纹理分割算法。
This paper proposes an algorithm based on curve evolution for unsupervised texture segmentation.
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.
本文介绍了演化策略和遗传算法两种演化计算的形式结构和基本过程，并比较了它们的差异以及各自的优缺点。
This article discusses the structures and basic process of evolutionary computation and evolution strategies, and compares the two with the strength and weakness of each.
本文介绍了演化策略和遗传算法两种演化计算的形式结构和基本过程，并比较了它们的差异以及各自的优缺点。
This article discusses the structures and basic process of evolutionary computation and evolution strategies, and compares the two with the strength and weakness of each.
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