To the signal optimization problem of urban traffic, a hybrid optimization algorithm is presented.
针对城市交通信号优化问题，提出了一种改进的混合优化算法。
The model is concerned to a hybrid optimization design problem with disperse and continuous variables.
该模型是带有离散变量和连续变量的混合优化设计模型。
In the mean time, the convergence of the improved chaotic optimization algorithm and hybrid optimization algorithm are proved.
同时对改进的混沌优化算法和混合优化算法的收敛性进行了证明。
The Three Gorges Project; navigation co-scheduling; rolling horizon procedure; mixed-integer programming; hybrid optimization algorithm;
三峡工程； 联合通航调度；滚动时域调度；混合整数规划；混合优化算法；
A new method for simultaneous inversion of porosity and saturation based on rock-physics model and hybrid optimization method was presented.
提出了一种基于岩石物理模型与混合优化算法同时反演孔隙度和饱和度的新方法。
The advantages and disadvantages of local optimization, global optimization and the base content of hybrid optimization algorithms are summarized simply;
简要概述了局部最优化、全局最优化的优缺点和混合最优化算法的基本内容；
It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm (PSO-SA).
本文将基于模拟退火的粒子群优化算法这一混合优化算法应用于拆卸序列规划求解问题。
For the areas of complex topography, especially mountain area, static is a non-linear hybrid optimization problem with the presence of multi-parameters and multi-extremes.
复杂地形，特别是山地条件下地震勘探中的大静校正问题是一个非线性的、具有多参数多极值的全局优化难题。
A new pressure and saturation change nonlinear inversion method is proposed using time-lapse seismic data, which is based on hybrid optimization method and rock-physics model.
在现有研究基础上提出基于岩石物理模型和混合优化算法的时移地震反演压力、饱和度变化方法。
The invention discloses a nonlinear predictive control method of a unit plant based on a chaos and hybrid optimization algorithm, belonging to the control field of thermal process.
本发明公开了属于热工过程控制领域的基于混沌混合优化算法的单元机组非线性预测控制方法。
Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid Quantum Evolutionary algorithms (QEA) based on combining QEA with Particle Swarm optimization (PSO).
文章将量子进化算法(QEA)和粒子群算法(PSO)互相结合，提出了两种混合量子进化算法。
Calculation results show that the use of hybrid optimization algorithm in multi-reservoir optimal operation can to a certain extent, to improve water use efficiency, with strong usability.
计算结果表明，采用混合优化算法的水库群联合优化调度可以在一定程度上提高水资源利用效益，具有很强的实用性。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
Power system unit commitment, a problem of nonlinear commitment optimization with typical large-scale hybrid integers, is difficult to get an optimal solution in theory.
电力系统机组组合问题是一个典型的大规模混合整数的非线性组合优化问题，很难得到理论上的最优解。
The optimization design of equivalent water depth truncated mooring system in hybrid model testing for deep sea platforms is explained in this paper.
主要考虑静力特性相似进行了深海平台混合模型试验中的等效水深截断系统优化设计研究。
To avoid the shortcomings of FCM and Particle Swarm Optimization algorithm, new hybrid clustering algorithm based on PSO and FCM algorithm is proposed.
针对模糊c均值算法与粒子群算法的不足，提出了一种基于粒子群算法和模糊c—均值算法的混合聚类算法。
This paper proposes a new hybrid particle swarm optimization method for unit commitment problem.
该文针对机组组合问题，提出了一种新的混合粒子群优化算法。
A hybrid particle swarm optimization (HPSO) approach is presented to solve the problem of optimizing the steady-state temperatures of the three zones of a billet reheating furnace.
针对一种蓄热推钢式加热炉三个加热区的炉温稳态优化问题，本文提出了一种混合粒子群优化(HPSO)方法。
A hybrid algorithm for topology optimization of trusses with discrete variables is developed which combines relative difference quotient algorithm with chaos optimization.
将相对差商法和混沌优化结合起来，形成求解离散变量桁架结构拓扑优化设计的混合算法。
A new hybrid method of crossovers is proposed for improving the performance of an evolutionary algorithm for constrained optimization based on hybrid crossovers and intermittent mutation.
为进一步提高基于混合杂交与间歇变异的约束优化演化算法的求解性能，提出了一种新的混合杂交方法。
A novel hybrid algorithm approach that employs a particle swarm optimization (PSO) and a multistage detection for the multiuser detection problem (PSOMSD) is proposed.
提出了一种新颖的基于粒子群优化和多级检测的混合算法的多用户检测器。
Combining the BFGS method with the chaos optimization method, a hybrid approach is proposed to solve nonlinear optimization problems with boundary restraints of variables.
把BFGS方法与混沌优化方法相结合，基于混沌变量提出一种求解具有变量边界约束非线性最优化问题的混合优化方法。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
As for the inadequate of BP neural network, PSO algorithm is used for its optimization, thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足，采用P SO算法对BP神经网络进行优化，建立一个混合的神经网络洪水预测模型。
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