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。
A binary differential evolution algorithm with dual subpopulations algorithm for discrete optimization problems is proposed.
DS _ BPSO算法既保留了P SO的优点，又非常适用于求解离散优化问题。
The new algorithm not only keeps the virtue of PSO but also ADAPTS to solve the discrete problems.
配电网重构是一个多目标、 多约束、离散的非线性组合优化问题。
Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.
仿真计算结果表明这种离散化的方法应用于此轨道优化问题可以避免传统轨道优化方法对初值敏感的问题。
The results of calculation and simulation indicate that application of the discrete method for problem of trajectory optimization can avoid the problem of initial value sensitivity.
样条方法是当前自由曲线曲面造型最为常用的方法，动态规划为解决离散最优化问题的有效手段。
B-spline is the most popular method to present free-form curve and surface, and DP algorithm is the effective approach for solving discrete optimization problems.
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。
SA is a stochastic optimization technique that has been used to solve continuous, order discrete and muti-modal optimization problems.
最优化也包括解决大规模，离散，非线性，多目标和全球化问题的技术。
Optimization also involves techniques for solving large-scale, discrete, nonlinear, multiobjective, and global problems.
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.
算例表明该方法能有效地解决工程结构混合离散变量的优化问题。
The results of two examples show that the simulated annealing approach can efficiently solve the engineering structural optimization with mixed-discrete variables.
基于混沌神经网络模型可以有效地解决高维、离散、非凸的非线性约束优化问题。
The Chaotic neural network model can be used to solve many multi-dimensioned, discrete, non-convex, nonlinear constrained optimization problems.
在求解冷负荷启动中的配电网馈线供电恢复问题时引入了离散粒子群优化算法并对该算法进行了改进。
Here, discrete particle swam optimization algorithm is introduced to solve the problem of optimal restoration of distribution feeders during cold load pickup.
用优化方法解决离散变量的工程问题，可采用惩罚函数法。
The optimal method-penalty technique can be used to solve discrete variable project problems.
蚁群算法是基于群体合作的一类仿生算法，适合于解困难的离散组合优化问题。
Ant colony algorithm is a novel simulated evolutionary algorithm based on group cooperation and can be applied to solve hard discrete combinatorial optimization problem.
函数优化实验研究表明，在算法中采用何种离散重组算子较为合适与算子的组合能力有关，也与优化问题有关。
Function optimization experiments show that which operator works better in an algorithm depends on both the combination capability of the operator and the problem to be optimized.
针对自由曲面重构建模中存在的问题，对曲面数字化及离散点参数优化技术进行了研究。
Based on the existing problems in free-form surface reconstruction, surface digitizing and parametric optimization of random points are probed.
计算结果验证了本文所提出的算法的正确性、可靠性以及处理大规模系统离散无功优化问题的能力。
The calculation result validated the correctness, reliability and the ability which to deal with the mass system's disperse reactive power optimization of the algorithm this paper put forward.
为了解决离散变量优化设计问题，采用了一种面向设计、制造的设计变量离散化处理方法。
For the sake of solving the optimization designing problems of discrete variables, a kind of discretized processing method of designing variables oriented to design and manufacturing has been adopted.
配电网络规划是一个复杂的组合优化问题，其具有多约束、非线性和离散性的特点。
Distribution system planning is a complicated combinatorial optimization problem, which is characterized by multi-constrains, non-linearity and discreteness.
这种方法能直接求解具有应力约束和几何约束的离散变量结构优化设计问题。
The structural optimum design with discrete variables under stress and section size constraints is performed using this method.
解决最短路优化问题的摹矩阵方法可用于解决一类离散控制系统的最优控制问题。
The modi-matrix method of solving the shortest path can be used to solve the optimal problems of a discrete control system.
针对天线结构受载及工作状态的复杂性，研究了天线结构的多工况离散变量优化设计问题。
This paper studied antenna structures discrete variables optimum design under multiple loading conditions in accordance with the complexity of antenna structure.
粒子群算法在求解连续函数优化问题中取得了广泛的应用，但是其在离散的组合优化问题中的运用还比较少。
Particle swarm optimization is widely used to solve continuous function optimization issue, but its application in discrete combination optimization problems is still relatively few.
提出一种离散变量结构优化设计的斐波那契算法，并与遗传算法结合在一起解决问题。
Moreover, a Fibonacci algorithm (FA) for structural optimization with discrete variables was proposed, and some problems were solved by means of FA combined with GA.
针对蚁群算法在求解连续优化问题上相对较弱的特点，提出了基于网格划分的蚁群算法，将传统的用于求解离散空间优化问题的蚁群算法进行了扩展。
Puts forward a new ACA based on grid division to overcome the weakness of ACA in solving continuous function optimization problem, and expands the discrete space to the continuous space.
通过引入随机交换序、PMX算子使微粒群优化算法能够求解车辆路径问题这类离散组合优化问题。
PSO can solve a discrete combination optimization such as VRP by using random exchange sequence and PMX operator.
提出了一种基于微粒群优化(PSO)算法的连续属性离散化方法，很好的解决了建模过程中连续属性的离散化问题。
An algorithm for discretization based on Particle swarm optimization (PSO) is presented, which can settle the problem of continuous attributes discretization in systema modeling perfectly.
提出了一种基于微粒群优化(PSO)算法的连续属性离散化方法，很好的解决了建模过程中连续属性的离散化问题。
An algorithm for discretization based on Particle swarm optimization (PSO) is presented, which can settle the problem of continuous attributes discretization in systema modeling perfectly.
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