Description: Grefenstette编码法的MATLAB实现 本文在MATLAB环境下编程实现针对TSP问题的Grefenstette编码法,并将其同基本遗传算法相结合,仿真求解一个
15点的TSP问题-Grefenstette coding method to achieve this paper, the MATLAB environment in MATLAB programming for the TSP problem Grefenstette coding method and genetic algorithm with the basic combination of a 15-point simulation of the TSP problem Platform: |
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Author:peng |
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Description: 排课问题是一个有约束的、多目标的组合优化问题，并且已经被证明是一个NP完全问题。
遗传算法借鉴生物界自然选择和自然遗传机制，使用群体搜索技术，尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展，遗传算法在理论研究和实际应用中取得了巨大的成功，本文将遗传算法用于排课问题的求解，首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点，并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析，建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计，提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明，其过程的目标值跟踪显示，算法稳健趋优，所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem.
Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co Platform: |
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Author:张林杰 |
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Description: its the matlab coding for pattern recoganization in image processing using genetic algorithm-its the matlab coding for pattern recoganization in image processing using genetic algorithm Platform: |
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Author:suresh |
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Description: 遗传算法应用程序使用说明：
1.安装MATLAB5.X；
2.建立目录：(c:\GeneticProgram),并将这里提供的所有源程序拷入该目录；
3.运行(c:\GeneticProgram)中的 startup；
4.在MATLAB Command Window内直接运行程序 FloatExample和BinaryExample。
FloatExample和BinaryExample分别采用浮点编码和二进制编码方法，求函数
y=20+x + 10*sin(4*x)+8*cos(3*x) 在[0 10]区间内的最大值。
-The genetic algorithm application for use:
An installation MATLAB5.X
(2) create the directory: (c: \ GeneticProgram) copyed into that directory and all the source code here
3 run (c: in \ GeneticProgram), the startup
4 directly in the MATLAB Command Window to run program FloatExample and BinaryExample.
The FloatExample, and BinaryExample floating-point coding and binary coding method, demand function
y = 20+ x+ 10* sin (4* x)+8* cos (3* x) the maximum value in the interval [010]. Platform: |
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Author:liyapei |
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Description: MATLAB智能算法30个案例分析，109页的详细讲解，程序和程序注解，可以直接复制代码。包括遗传算法，基于遗传算法和非线性规划的函数寻优算法，遗传算法工具箱详解及应用，多种群遗传算法的函数优化算法， 基于粒子群算法的多目标搜索算法，基于多层编码遗传算法的车间调度算法，基于遗传模拟退火算法的聚类算法，蚁群算法，支持向量机等等30章。-MATLAB intelligent algorithm 30 case studies, 109 detailed explanations, procedures and procedures annotations, you can directly copy the code. Including genetic algorithms, function optimization algorithm based on genetic algorithm and nonlinear programming, genetic algorithm toolbox the Xiangjie and application, the function of a variety of population genetic algorithm optimization algorithms, multi-target search algorithm based on particle swarm optimization based on multi-coding The genetic algorithm shop scheduling algorithm based on genetic simulated annealing algorithm clustering algorithm, ant colony algorithm, support vector machines, etc. 30 cases and chapters. Platform: |
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Author:Binjie Liao |
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Description: 根据多层编码遗传算法原理，在matlab中编程实现基于多层编码遗传算法的车间调度算法-According to the principle of multi-coded genetic algorithm in matlab programming shop scheduling algorithm based on multi-coding genetic algorithm Platform: |
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Author:吴逸 |
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Description: 这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,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、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。-The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem. Platform: |
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Author:李勃 |
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Description: 本文通过遗传算法解决基本的无时限车辆调度问题。采用车辆和客户对应排列编码的遗传算法，通过种群初始化，选择，交叉，变异等操作最终得到车辆配送的最短路径。通过MATLAB仿真结果可知，通过遗传算法配送的路径为61.5000km,比随机配送路径67km缩短了5.5km。此结果表明遗传算法可以有效的求解VRP问题。(In this paper, genetic algorithm is used to solve the basic vehicle scheduling problem without time limit. Using the genetic algorithm of vehicle and customer corresponding permutation coding, through the initialization of population, selection, crossover and mutation, the shortest route of vehicle delivery is obtained. Through MATLAB simulation results, we can see that the route of delivery through genetic algorithm is 61.5000km, which is 5.5km shorter than the random delivery path 67km. The results show that the genetic algorithm can solve the VRP problem effectively.) Platform: |
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Author:阿雨
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