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1)  Linear nonnegative constraints
线性非负约束
2)  non-negativity constraint
非负性约束
3)  non-linear constraint
非线性约束
1.
Local random search PSO (Particle Swarm Optimization) algorithm is presented to improve searching accuracy and accelerate convergence rate in later period,which considers not only the system load equilibrium constraint but also the non-linear constraints in short-term generation optimal dispatch of power stations,such as unit ramp rate and restricted output zone.
该算法用于求解电力系统的短期发电优化调度问题时,不仅要求满足电站实际运行中的系统负荷平衡约束,而且要考虑机组爬坡约束、出力限制区约束等非线性约束。
2.
Accrording to the analysis and description of the course arrangement and constrait rules,a course arrangement model of non-linear constraint and Multi-object is presented and set up.
通过对排课资源和约束规则的分析与描述,提出并建立了一个基于资源受限的非线性约束多目标的排课模型。
3.
In this paper,we discuss the estimation of deviation by discrete algorithm for a kind of semi-infinite multiobjective programming with non-linear constraint and the computational formula are given.
讨论一类具有非线性约束的半无限多目标规划离散型算法的偏差估计并给出相应的计算公式。
4)  nonlinear constraint
非线性约束
1.
L_2-estimators of contaminated data with nonlinear constraints;
非线性约束条件的污染数据的L_2-估计
2.
Adaptive beamforming algorithm of alterably diagonal loading based on nonlinear constraint;
基于非线性约束的可变对角加载自适应波束形成算法
3.
In order to solve the nonlinear constraint problem,a new and feasible chaotic optimization algorithm,i.
针对非线性约束问题,提出了一种新的、可行的混沌最优化算法———三次载波混沌最优化方法;并将此算法用于工程结构优化设计中。
5)  nonlinear constraint problem
非线性约束
1.
A new improved genetic optimization algorithm(IGOA) is proposed for solving nonlinear constraint problem of mechanical engineering with mixed discrete variables.
针对机械工程中的非线性约束优化的混合离散变量优化设计问题 ,提出了一种新的遗传算法。
2.
A new improved genetic optimization algorithm(IGOA) fit for solving nonlinear constraint problem of mechanical engineering was proposed.
针对机械工程中的非线性约束优化的工程问题 ,提出了一种新的遗传算法。
6)  nonlinear constraints
非线性约束
1.
The system can solve nonlinear constraints using interval arithmetic and constraint propagation.
并通过定义新的数据结构,采用多种优化策略,使该系统能够以较高效率处理经典的非线性约束问题。
2.
Bellow optimization design is a problem of nonlinear constraints discrete design variables.
为了解决波纹管所涉及的非线性约束离散变量的优化设计问题,文中尝试将粒子群算法与惩罚函数法相结合,建立新型离散粒子群算法,实现离散变量与连续变量之间的转化。
补充资料:线性约束
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性质:任何一个方案都必须满足一定的条件,这些条件称为约束条件。具有线性等式和(或)线性不等式的约束条件,称为线性约束。如一组等精度测定值x1,x2,…,xn,其线性约束条件为

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