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人工智能/神经网络 The GP kernel is a C++ class library that can be used to apply genetic programming techniques to al
The GP kernel is a C++ class library that can be used to apply genetic
programming techniques to all kinds of problems. The library defines
a class hierarchy. An integral component is the ability to produce
automatically defined functions as found in Koza s "Genetic
Programming II".
其他行业 simulation model using Genetic Algorithm
simulation model using Genetic Algorithm
人工智能/神经网络 遗传算法,遗传算法源程序.doc,genetic algorithms
遗传算法,遗传算法源程序.doc,genetic algorithms
人工智能/神经网络 Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm 2008年05月21日 C++, Windows, Win32
Visual C++实现的基因遗传算法库源代码以演示程序Free Source Code for Genetic algorithm
2008年05月21日
C++, Windows, Win32, Visual Studio, MFC, STL, Arch, Dev, Design
基因遗传算法都是针对概率的,所以因为其随机的本质,导致其结果可能是好的,也可能是坏的,于是我们就需要一个方法确认这个解到底有多大的可用性 ...
并行计算 it use the genetic algorithm to deal with the TSP problem
it use the genetic algorithm to deal with the TSP problem
人工智能/神经网络 This program proposed improved adaptive genetic algorithms saccording to the idea that the best indi
This program proposed improved adaptive genetic algorithms saccording to the idea that the best individualon current generation should bekept tonext
generation,but the best individual should becrossed and mutated by some probability.
matlab例程 The Source of Genetic Programming developed in Matlab
The Source of Genetic Programming developed in Matlab
数学计算 This a simple genetic algorithm implementation where the evaluation function takes positive values o
This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
并行计算 A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code
A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code
人工智能/神经网络 GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)
GENETIC ALGORITHM FOR NEURAL NETWORKS ON TRANSPUTERS (Source code and Reference)