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[AI-NN-PRwebinar_files

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 | Hits:

[Software Engineeringll

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:

[AI-NN-PRGA_method

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 | Hits:

[matlabGenetic-Algorithms-using-Matlab

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:

[VHDL-FPGA-Verilogfault

Description: fault minimization using genetic algorithm
Platform: | Size: 1643520 | Author: thangapandiyan | Hits:

[matlabDG-GA

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 | Hits:

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