Description: 该程序运用遗传算法优化神经网络,对军费预测问题进行编程-the process of genetic algorithm optimization using neural networks for military spending, the forecast for Programming Platform: |
Size: 1024 |
Author:容容 |
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Description: 遗传算法工具箱的MATLAB的改进程序。
其中进行了少部分的功能改进,使得在MATLAB中的遗传算法的编程更加的简单-genetic algorithm toolbox of MATLAB improve procedures. With a small part of the functional improvements, making the MATLAB genetic algorithm programming more simple Platform: |
Size: 105472 |
Author:雪莉 |
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Description: 遗传规划的matlab工具箱,易上手,功能强大,且有详细的说明文档-genetic programming of Matlab Toolbox, hidden, powerful, which is described in detail in documents Platform: |
Size: 771072 |
Author:刘昆宏 |
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Description: :介绍遣传算法的基本原理和Matlab的遗传算法优化工具箱(GAOT),分析了优化工具函数。探讨Matlab遗传算法工具箱在
参数优化和非线性规划中的应用。通过优化实例,说明遗传算法是一种具有良好的全局寻优性能的优化方法。用Maflab语
言及Maflab语言编制的优化工具箱进行优化设计具有语言简单、函数丰富、用法比较灵活、编程效率高等特点。-: Removal algorithm introduce the basic principles and Matlab Genetic Algorithm Optimization Toolbox (GAOT), an analysis of function optimization tool. Explore the Matlab Genetic Algorithm Toolbox in the parameter optimization and nonlinear programming applications. Through optimization examples to illustrate the genetic algorithm is a good global optimization method to optimize performance. Maflab language and using language Maflab Optimization Toolbox to optimize the design of the language is simple, function-rich, and using more flexible programming and high efficiency. Platform: |
Size: 210944 |
Author:icyrock |
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Description: 本文介绍了遗传算法的流程及几个算子, 给出了在matlab 语言环境下实现编码、译码、选择、重组和变异各算子的编程方法, 最
后用一个实例来说明遗传算法在寻找全局最优解中的应用。-This paper introduces the genetic algorithm process and several operator, is given in the matlab language environment to achieve encoding, decoding, selection, reorganization and variation of the operator of the programming method, and finally an example to illustrate the use of genetic algorithm in finding global optimal solution in applications. Platform: |
Size: 89088 |
Author:dh |
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Description: 在matlab下实现的遗传算法编程,希望对遗传算法的初学者有所帮助-In matlab genetic algorithm to achieve programming, genetic algorithm would like to help beginners Platform: |
Size: 6144 |
Author:范小平 |
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Description: 一种基于matlab的遗传规划编码程序 其中包含交叉和变异的代码-Based on the genetic programming matlab coding procedures of crossover and mutation which contains the code Platform: |
Size: 28672 |
Author:不吃萝卜的萝卜 |
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Description: The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic programming, and swarm intelligence.
The book includes a large number of intelligent computing methodologies
and algorithms employed in computational intelligence research. The
book also offers a set of solved programming examples related to computational
intelligence paradigms using MATLAB software. Additionally,
such examples can be repeated under the same conditions, using different
data sets. Researchers, academicians, and students in computational intelligence can use this book to verify their ideas related to evolution dynamics,
self-organization, natural and artificial morphogenesis, emergent
collective behaviors, swarm intelligence, evolutionary strategies, genetic
programming, and evolution of social behaviors. Platform: |
Size: 6013952 |
Author:Umar |
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Description: matlab用法 主要用于线性规划,非线性规划,解决优化问题,作出最合理的决策等遗传算法程序-matlab usage is mainly used for linear programming, nonlinear programming to solve optimization problems, make the most rational decision-making, genetic algorithm Platform: |
Size: 8192 |
Author:刘旭 |
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Description: MATLAB遗传算法工具箱及应用。本书系统介绍MATLAB遗传算法和直接搜索工具箱的功能特点、编程原理及使用方法。全书共分为9章。第一章至第四章介绍遗传算法的基础知识,包括遗传算法的基本原理,编码、选择、交叉、变异,适应度函数,控制参数选择,约束条件处理,模式定理,改进的遗传算法,早熟收敛问题及其防止等。-MATLAB genetic algorithm toolbox and its application. This book describes the features of MATLAB Genetic Algorithm and Direct Search Toolbox, programming principles and use. The book is divided into nine chapters. Chapter to Chapter IV describes the basics of the genetic algorithm, including the basic principles of genetic algorithm, encoding, selection, crossover and mutation, the fitness function, the control parameter selection and processing constraints, schema theorem, improved genetic algorithm, precocious convergence problem and its prevention. Platform: |
Size: 9704448 |
Author:谢 |
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