Description: 1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版
遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。
本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。
本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi'an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the genetic algorithm convergence theory. The book can be applied mathemati Platform: |
Size: 2689630 |
Author:孙东 |
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Description: 1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版
遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。
本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。
本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi'an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the genetic algorithm convergence theory. The book can be applied mathemati Platform: |
Size: 2689024 |
Author:孙东 |
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Description: 用C语言程序实现遗传算法的功能，遗传算法是模拟自然界生物进化过程与机制求解极值问题的一类自组织、自适应的人工智能技术，它模拟达尔文的自然进化论与孟德尔的遗传变异理论，具有并行性等特点，简单通用。-C language program used to achieve the function of genetic algorithm, genetic algorithm is a simulation of natural biological evolution process and mechanism for solving the problem for a class of extremal self-organizing, adaptive artificial intelligence technology, which simulated the natural Darwinian theory of evolution with Mendelian theory of genetic variation with features such as parallelism, simple common. Platform: |
Size: 3072 |
Author:刘丽 |
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Description: 一个较好的自适应遗传算法，求解速度快，可移植性好，图形显示，并有例子可供操作。-A better self-adaptive genetic algorithm for solving speed, portability, and graphical display, and have examples for the operation. Platform: |
Size: 147456 |
Author:赵辉 |
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Description: 这是自适应遗传算法的MATALB代码,经调试运行通过,希望对大家有用-This is self-adaptive genetic algorithm MATALB code, adopted by the debugger to run, everyone would like to be useful Platform: |
Size: 5120 |
Author:liyan |
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Description: 自己编写的自适应遗传算法，改进算法后，计算速度提高已经试过有效应好-I have written self-adaptive genetic algorithm, to improve the algorithm, the computing speed of' ve tried to be good and effective Platform: |
Size: 2048 |
Author:lili |
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Description: 采用量子遗传算法使其在图像自适应增强中的应用程序-Quantum genetic algorithm used to enhance the image of self-adaptive applications Platform: |
Size: 3072 |
Author:段石头 |
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Description: 本程序是用自适应遗传算法进行图像增强，其思想来自《计算机学报》发表的论文。-This program is self-adaptive genetic algorithm image enhancement, their thoughts from the " Journal of Computers," published papers. Platform: |
Size: 1082368 |
Author:Bruce |
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Description: 遗传算法是模拟自然界生物进化的过程与机制求解问题的一类自组织与自适应的人工智能技术。
本书重点在于阐述遗传算法的数学基础。全书3章1遗传算法的集合理论2遗传算法的马尔可夫链分析3遗传算法的收敛理论-Genetic algorithm is a simulation of natural biological process of evolution and mechanisms to solve the problem of a class of self-organizing and adaptive artificial intelligence technology.
This book focuses on the mathematical foundations of genetic algorithms elaborated. The book is three chapters a genetic algorithm genetic algorithm set theory two Markov chain analysis of genetic algorithms convergence theory Platform: |
Size: 2701312 |
Author:123 |
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Description: 遗传算法是一种借鉴生物界自然选择和自然遗传机制的随机搜索算法。它简单、鲁棒性好，具有自组织
性、自适应性、自学习性，其本质是一种高效、并行、全局搜索的方法，它能在搜索过程中自动获取和积累有
关搜索空间的知识，并自适应地控制搜索过程以求得最优解，
-Genetic algorithm is a stochastic search algorithm which is based on natural selection and natural genetic mechanism. It is simple, robust and self-organizing
Self-adaptability, self-learning, and its essence is an efficient, parallel, global search method, it can automatically search and accumulate in the process of
Off search space knowledge, and adaptive control of the search process in order to obtain the optimal solution, Platform: |
Size: 4096 |
Author:shishi |
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Description: 该算法既保留了遗传算法的搜索特性，又利用了免疫算法的多机制求解多目标函数最优解的自适应特性，在很大程度上避免了“早熟”，收敛于局部极值。
生物体的免疫系统是一个高度进化、复杂的系统，它能自适应地识别和排除入侵肌体的抗原性异物，保护机体免受损害及维持内坏境稳定，并具有学习、记忆和自适应调节的能力。当抗原入侵时，免疫系统通过自体耐受对‘自己’和‘非己’进行识别，并产生最恰当的抗体排除抗原，通过抗体与抗体之间、抗原与抗体之间的相互刺激和抑制关系，降低抗原对免疫细胞的刺激，抑制抗体的过度分化、增殖，保证免疫平衡并维持抗体的多样性。同时在免疫过程中将产生抗体的部分细胞作为记忆细胞保存下来，对于今后侵入的同类抗原，相应的记忆细胞受到激发而产生大量的抗体。为提高生物体的免疫机能，医学上往往根据抗原性异物提取疫苗给生物体接种，接种过的生物体由于免疫细胞预先获得了抗原染色体的特征信息，因而在类似抗原入侵时，能迅速产生亲和度很高的抗体，有效抵御入侵。-The search algorithm only retains the characteristics of genetic algorithms, and use multiple mechanisms of immune algorithm for solving multi-objective characteristics of adaptive optimal solutions, in large part to avoid the " premature" , converge to local minima. Organism' s immune system is a highly evolved, complex system which adaptively identify and remove foreign matter intrusion antigenic body, protecting the body injury and maintain internal stability bad environment, and has learning, memory and adaptive Ability. When the antigen invasion of immune system tolerance to autologous ' own' and ' non-self' to identify and produce the most appropriate antigen antibody excluded by between antibody and antibody, antigen and antibody mutual stimulation and inhibition of the relationship between reduce the antigen to stimulate immune cells, antibodies inhibit excessive differentiation, proliferation, immune balance and ensure the maintenance of antibody dive Platform: |
Size: 110592 |
Author:snowtiger |
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Description: 利用遗传程序设计建立电力系统的负荷模型，无需像传统方法一样预先确定具体的模型结构，它能根据输入输出数据直接演化出变量间的函数关系，并且能够一次性的同时确定函数的结构形式和参数，使得模型的生成过程趋于智能化、自动化，解决了负荷建模工作中长期困扰的模型辨识问题。(Genetic Programming(GP) is a new evolutionary algorithm based on genetic algorithm,which has self-adaptive,self-organizing,self-learing and other advantages.As a kind of automatic programming technology,it tries to study the computer how to solve the problem according to the objective enviroment automatically without human intervention.) Platform: |
Size: 20480 |
Author:图图园 |
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Search - self adaptive genetic algorithm