A new, feasible chaos optimization algorithm is presented to nonlinear constrained programming problem.
针对非线性约束问题，提出了一种新的、可行的混沌优化算法。
The solving method for the optimal solution of the overbooking model is given based on chaos optimization algorithm.
基于混沌优化算法给出了求解最优超订水平的方法。
Data envelopment analysis (DEA) and its non-linear model are introduced, and chaos optimization algorithm is used to find the non-linear model.
介绍了数据包络分析方法及其非线性模型，并提出了混沌优化求解算法。
Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.
结合混沌变量的随机遍历特性，将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。
This paper incorporates chaos optimization algorithm into the PSO algorithm, and propose a new particle swarm optimization algorithm based on chaos searching (CPSO).
文章把混沌优化搜索技术引入到P SO算法中，提出了基于混沌搜索的粒子群优化算法。
The mathematic model of this VRP is analyzed, and a chaos optimization algorithm is proposed, then the coding method and compute operators are introduced in this paper.
本文分析了该类VRP问题的数学模型，提出了一种针对该问题的混沌优化算法，介绍了具体的编码方法和实现算子。
Result shows that chaos optimization algorithm is consistent with linear programming; and also proves that it is feasible to solve DEA non-linear model with chaos optimization algorithm.
实例表明：用混沌优化算法对城市供水绩效的DEA评价模型的优化结果与前人采用线性求解结果一致，证明了混沌算法求解DEA模型的可行性。
Mutative scale chaos optimization algorithm (MSCOA) is a modified chaos optimization algorithm (COA), which possesses the properties of randomness, ergodicity and regularity of chaos movement.
变尺度混沌优化（MSCOA）是一种改进的混沌优化方法（COA），利用混沌运动的内在随机性、遍历性和规律性进行全局寻优；
Chaos optimization algorithm, which combines chaos carrier wave with simulated annealing algorithm improves system optimization speed.
混沌优化算法将混沌载波和模拟退火策略结合加快了寻优速度。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
Chaos optimization algorithm is a global search method of selecting SVMs parameters, simulations show that the proposed method is an effective approach for parameter selection.
混沌优化算法是一种全局搜索方法，将混沌优化算法应用于支持向量机参数选取问题中，仿真表明该方法的有效性。
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