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: 一个遗传算法的函数优化,求函数的最小值,matlab编写的程序-A genetic algorithm for function optimization, seeking the minimization, matlab program written Platform: |
Size: 1024 |
Author:zuodongsheng |
Hits:
Description: 直接使用实数编写的遗传算法,简单易行,不需要适应函数为正,可以计算含有约束的最小化问题-Prepared directly using the real genetic algorithm, is simple, do not meet the function is positive, can be calculated with constrained minimization problem Platform: |
Size: 2048 |
Author:sunff |
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Description: This document contend matlab source codes about genetic algorithm.The codes try to minimization of any kind of function.-This document contend matlab source codes about genetic algorithm.The codes try to minimization of any kind of function. Platform: |
Size: 620544 |
Author:ibo |
Hits:
Description: Multiple distributed generation units allocation in distribution network for
loss reduction based on a combination of analytical and genetic algorithm
methods Platform: |
Size: 382976 |
Author:jattboy |
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