The ant colony optimization algorithm is a novel simulated evolution algorithm featuring a robust global searching ability.
蚁群算法是一种模拟进化算法，具有很强的全局搜索能力。
Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.
蚁群算法是一种新型的模拟进化算法，它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。
A layered architecture is constructed based on cooperative co-evolution algorithm.
设计了一种基于协作协进化算法的分层式的智能体体系结构。
A co evolution algorithm used to solve topology and size optimization of trusses is proposed.
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 nonlinear optimal selection model based on multi-dimensional niche evolution algorithm (nea) was introduced.
本文介绍了小生境进化算法(NEA)非线性优选模型。
A new method for calculating the space surface profile error based on genetic evolution algorithm is proposed.
提出一种计算空间面轮廓度误差的新方法。
To solve the comprehensive planning of distribution networks, a fuzzy differential evolution algorithm is proposed.
针对配电网综合规划问题提出一种模糊微分演化算法。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.
本文建立了微分进化算法的支持向量机模型，有效地解决了产业结构趋势预测问题。
A binary differential evolution algorithm with dual subpopulations algorithm for discrete optimization problems is proposed.
提出了一种求解离散优化问题的双种群二进制微分进化算法。
Using a new range encoding mapping, the differential evolution algorithm can be used to deal with discrete optimization problem.
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。
By directly regarding the Bloch coordinates of qubit as genes in chromosome, a quantum-inspired evolution algorithm is proposed.
通过直接将量子位的Bloch坐标视为基因位，提出一种基于量子位Bloch坐标的量子衍生进化算法。
Differential evolution algorithm is applied to optimization problem of mechanical design and the basal theory and steps are analysed.
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。
A new adaptive second mutation differential evolution algorithm (ASMDE) based on the variance of the population's fitness is presented.
提出一种基于群体适应度方差自适应二次变异的差分进化算法。
Constructs the description model of environment and obstacle with neural network. Asks for the best path with immune evolution algorithm.
用神经网络构造机器人周围环境及障碍物的描述模型，用免疫进化算法寻找最佳路径。
A differential evolution algorithm was used to optimize the parameters of the model, and then the computer simulation has been carried out.
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。
For the basic differential evolution algorithm, the increasing quadratic function crossover operator was added to increase the convergence speed.
在基本差分进化算法中，融入递增二次函数交叉算子以增加算法的收敛速度。
It is based on a new branch of evolution algorithm named differential evolution (DE) and parallel computing techniques implemented on a PC-cluster.
该方法基于新的差异进化(DE)算法和并行计算技术，在PC集群上实现优化。
According to the properties of biological immune system, the paper presents an optimum design algorithm of PID parameter based upon immune evolution algorithm.
根据生物免疫系统的特性，提出一种基于免疫进化计算PID控制器参数的优化设计算法。
The application scope of differential evolution algorithm is extended to a general multi-objective optimization from unconstrained single-objective optimization.
将微分进化算法的应用范围从求解无约束单目标优化推广到求解一般情形的多目标优化。
By applying the binary differential evolution algorithm with dual subpopulations, a novel approach of solving transmission network expansion planning is presented.
提出一种应用双种群二进制微分进化算法求解输电网扩展规划的新方法。
Illumined by phenomenon of co-evolution in nature, particle swarm optimization is combined with co-evolution, a multi-particle swarm co-evolution algorithm is presented.
受自然界共生现象的启发，将微粒群算法和协同进化相结合，提出了一种多微粒群协同进化算法。
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.
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 method solves the problems which caused by dynamic planning dealing with multiple constraints and large optimization problems, and improves the precision of evolution algorithm.
计算表明，该方法避免了动态规划等算法处理多约束、大型优化问题的困难，同时提高了进化算法的精度。
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.
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。
The mathematics model of the multi-population co-evolution algorithm and the symbol deduction theory model of multi-agent system based on co-evolution mechanism are theory bases of whole paper.
多群体协进化算法数学模型及基于协进化的多智能体系统的符号演绎理论模型，是全文的理论基础。
The math model of reactive power optimization for distribution network is briefly introduced, which applies the adaptive differential evolution algorithm. Case calculation shows its good effect.
简要介绍了配电网无功优化的数学模型，并采用自适应的微分进化算法作为无功优化算法，算例结果表明该软件应用效果良好。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
为了提高差分进化算法(DEA)的收敛速度和寻优精度，提出了一种改进的差分进化算法。
To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.
为了提高差分进化算法(DEA)的收敛速度和寻优精度，提出了一种改进的差分进化算法。
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