Description: 用于解决目标函数的最优化问题，目标函数自编，在vc＋＋6.0中运行通过-objective function for the solution of optimization problem, the objective function writing, the vc++6.0 running through Platform: |
Size: 51200 |
Author:刘朝勇 |
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Description: 原始非支配多目标遗传算法，适用于多个目标函数的输入，多个变量的输入，非常经典的，基于非支配解排序。-original non-dominant multi-objective genetic algorithm applied to a number of objective function input, a number of input variables. very classic, based on the non-dominant solution ranking. Platform: |
Size: 318464 |
Author:academic |
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Description: 编写优化的目标函数如下，其中将多目标转化为单目标采用简单的加权处理-Optimization of the preparation of the objective function as follows, in which multiple objectives into single objective, using a simple weighted handle Platform: |
Size: 2048 |
Author:ljlj |
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Description: 常用matlab遗传算法目标函数的编写实例，如：双积分优化，收获系统，装载系统等-Matlab genetic algorithm commonly used objective function of the preparation of examples, such as: double-integrating optimization, harvest systems, loading systems, etc. Platform: |
Size: 2048 |
Author:熊梅西 |
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Description: BFGS算法: 可以解决无约束的最优化问题，如求目标函数的极值等。-BFGS algorithm: can solve unconstrained optimization problems, such as seeking the extreme, such as the objective function. Platform: |
Size: 13312 |
Author:贺鹏 |
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Description: MATLAB具有强大的科学计算功能, 含有大量多目标优化分析函数。依据技术将函数在
环境下进行调用, 进行多目标优化集成系统开发, 实现数据的自动输入和输出功能, 编制了MATLAB与VB的数据接口代码, 提出程序设计时应注意的问题。-MATLAB has powerful scientific computing functions, contains a large number of multi-objective optimization analysis function. Based technology will function in the environment calls for multi-objective optimization of integrated system development, automated data input and output functions, the preparation of the MATLAB data interface with the VB code, the program design should pay attention to the problem. Platform: |
Size: 521216 |
Author:文华 |
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Description: 目标函数是De Jong函数，是一个连续、凸起的单峰函数-Objective function is De Jong function, is a continuous, convex function of the single-peak Platform: |
Size: 2048 |
Author:齐乐 |
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Description: 用lingo进行多目标规划的范例，可在lingo9上运行-Using multi-objective programming lingo for example, can be run lingo9 Platform: |
Size: 1024 |
Author:苏今墨 |
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Description: This a demonstration of how to find a minimum of a non-smooth
objective function using the Genetic Algorithm (GA) function in the
Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based
optimization methods, like those found in the Optimization Toolbox, are
fast and accurate for many types of optimization problems. These methods
are designed to solve smooth , i.e., continuous and differentiable,
minimization problems, as they use derivatives to determine the direction
of descent. While using derivatives makes these methods fast and
accurate, they often are not effective when problems lack smoothness,
e.g., problems with discontinuous, non-differentiable, or stochastic
objective functions. When faced with solving such non-smooth problems,
methods like the genetic algorithm or the more recently developed pattern
search methods, both found in the Genetic Algorithm and Direct Search
Toolbox, are effective alternatives. -This is a demonstration of how to find a minimum of a non-smooth
objective function using the Genetic Algorithm (GA) function in the
Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based
optimization methods, like those found in the Optimization Toolbox, are
fast and accurate for many types of optimization problems. These methods
are designed to solve smooth , i.e., continuous and differentiable,
minimization problems, as they use derivatives to determine the direction
of descent. While using derivatives makes these methods fast and
accurate, they often are not effective when problems lack smoothness,
e.g., problems with discontinuous, non-differentiable, or stochastic
objective functions. When faced with solving such non-smooth problems,
methods like the genetic algorithm or the more recently developed pattern
search methods, both found in the Genetic Algorithm and Direct Search
Toolbox, are effective alternatives. Platform: |
Size: 18432 |
Author:gao |
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Description: 采用了精确一维搜索法进行目标函数求极值，其中使用了黄金分割法，最速下降法和拟牛顿法。-Using the exact one-dimensional search method to the objective function extremum, which uses the golden section method, steepest descent and quasi-Newton method. Platform: |
Size: 1024 |
Author:海风 |
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Description: 多目标规划的遗传算法程序 用matlab编程语言编写-Planning of multi-objective genetic algorithm program written in Matlab programming language Platform: |
Size: 6144 |
Author:王君红 |
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Description: 用遗传算法求解多目标函数的最小值，方便、简单、快速。-More than the minimum value of the objective function using genetic algorithm, convenient, simple, fast. Platform: |
Size: 10240 |
Author:刘平 |
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Description: 基于遗传算法的函数优化，利用遗传算法求出目标函数的最优值，适合初学matlab和遗传算法的学者下载学习。-The function of the genetic algorithm-based optimization, using genetic algorithms to determine the optimal value of the objective function, suitable for beginners of Matlab and genetic algorithm scholars download learning. Platform: |
Size: 24576 |
Author:一休 |
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Description: 遗传算法处理多维目标函数，约束条件是不同范围下的独立条件。-Genetic algorithm processing multi-dimensional objective function, constraints are independent under the condition of different areas. Platform: |
Size: 3072 |
Author:孙少华 |
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