A reduced preconditional conjugate gradient path method with nonmonotonic technique for linear equality constrained optimization problem is proposed. 采用既约预条件共轭梯度路径结合非单调技术解线性等式约束的非线性优化问题。
Application of Genetic Algorithm in Constrained Optimization for Double-sine Function 遗传算法在双正弦函数受限优化中的应用
Application of an Improved PSO Algorithm in Solving Constrained Optimization Problem 应用改进PSO算法求解待约束优化问题
A new merit function of complementarity problem was given, and we equivalently transformed mathematical programs with linear complementarity constraints into general constrained optimization problems. 文给出了一种新的互补问题的价值函数,从而把线性互补约束问题等价地转化为一般约束优化问题。
A modified project variable metric algorithm for equality constrained optimization 等式约束优化一个修正的投影变尺度法
A New Adaptive Penalty Function Based Algorithm for Solving Constrained Optimization Problems 一种新的自适应惩罚函数算法求解约束优化问题
A Multi-dimension Filter Trust Region Method for General Nonlinear Constrained Optimization 求解一般非线性约束优化问题的多维滤子信赖域方法
In this paper, equality constrained optimization is researched. 本文研究了等式约束优化问题。
Electromagnetism-like method based on pattern search for constrained optimization problem 基于模式搜索的类电磁算法求解约束优化问题
Advanced evolutionary algorithm used in multi-objective constrained optimization problem 一种用于多目标约束优化的改进进化算法
New Penalty Model for Constrained Optimization Problems 解约束优化问题的一种新的罚函数模型
Lagrange solution is employed to convert the constrained optimization problem and bisection method is used to reach a fast convergence in searching for the optimize Lagrange multiplier. 该算法利用拉格朗日算法将约束条件下的最优化问题进行转化,并采用对分算法加快搜索最优拉格朗日乘子的收敛速度。
Penalty function was added to system-level object function to convert unconstrained optimization into constrained optimization. 增加系统级罚函数,使系统级优化问题转化为无约束优化问题;
A New Method for Constrained Optimization Problems to Produce Initial Values 一种新的约束优化问题初始解的产生方法
In this paper, we consider an affine-scaling algorithm for the bound constrained optimization problem. 本文我们考虑求解边界约束优化问题的一个仿射尺度算法。
Constrained optimization evolutionary algorithm based on good lattice points principle 一种基于佳点集原理的约束优化进化算法
A new trust region algorithm with conic model for constrained optimization 一类新的求解约束优化问题的锥模型信赖域算法
Annealing Accuracy Penalty Function Based Nonlinear Constrained Optimization Method with Genetic Algorithms 基于遗传算法的退火精确罚函数非线性约束优化方法
In this paper, combined with the quasi-Cauchy equation and diagonal updating, a new projected gradient method is proposed for bound constrained optimization. 本文基于拟柯西方程和对角变换,构造了一个新的投影梯度算法。
In this paper, we are concerned with the sequence quadratic programming ( SQP) methods for solving constrained optimization problems. 本文研究求解约束最优化问题的序列二次规划算法(SQP算法)。
Real-coded immune-tabu hybrid algorithm to solve constrained optimization problems 约束优化问题的实数制免疫-禁忌混合算法
Numerical experiments show that the method is efficient than traditional genetic algorithm in dealing with constrained optimization problems. 数值实验证明,该方法比传统的遗传算法处理约束优化问题效率高。
A New Algorithm for Solving Constrained Optimization on Exact Penalty with Two Parameters 基于双参数罚函数求解约束优化问题的一个新算法
An Exact Penalty Function Method for Nonlinear Constrained Optimization Problem 求解非线性约束优化问题的精确罚函数方法
Using the idea of both ant colony optimization algorithm and particle swam optimization algorithm, a continuous domains ant colony algorithm for solving constrained optimization problem was proposed. 借鉴蚁群优化算法和粒子群优化算法的思想,提出了一种用于求解约束优化问题的连续域蚁群算法。
Some sufficient conditions for a KKT point of the constrained optimization problem to be a solution of GNCP are presented. 对于广义互补问题,本文给出了它的约束优化问题的两种转化形式,讨论了它们的KKT点为原问题的解的充分条。
Parameter Estimation and Statistical Analysis of the Constrained Optimization Penalty Function to Be Solved by Particle Swarm Optimization 关于微粒群求解约束最优化罚函数的参数估计和统计分析
A novel particle swarm optimization ( NPSO) based on the smooth scheme and line search is proposed for solving complex constrained optimization problems. 针对高维复杂约束优化问题,提出了一种基于平滑技术和一维搜索的粒子群算法(NPSO)。
The Feasible Conjugate Gradient Method for Linearly Constrained Optimization Problem 线性约束优化问题中的可行共轭梯度法