Description: In this paper, an attractive approach for teaching genetic algorithm has been
presented. This approach is based primarily on using MATLAB in
implementing the genetic operators: crossover, mutation, and selection. An
advantage of using such an approach is that the student becomes familiar with
some advanced features of MATLAB, and furthermore, with the availability of
other MATLAB Toolboxes such as The Control Systems Toolbox, Neural
Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to
develop genetic algorithm-based approaches to designing intelligent systems,
which could lead to his/ her final year or MSc project. Platform: |
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Author:jacob1717 |
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Description: In this paper, an attractive approach for teaching genetic algorithm (GA) is pre-sented. This approach is based primarily on using MATLAB in implementing the genetic operators:
crossover, mutation and selection. A detailed illustrative example is presented to demonstrate that
GA is capable of finding global or near-global optimum solutions of multi-modal functions. An
application of GA in designing a robust controller for uncertain control systems is also given to
show its potential in designing engineering intelligent systems Platform: |
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Author:jacobjacobjacob17 |
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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: 粒子群算法matlab代码吐血推荐。粒子群算法，也称粒子群优化算法，是近年来发展起来的一种新的进化算法。它是从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。-PSO algorithm matlab code recommended blood. Particle swarm optimization, also known as PSO, is a new evolutionary algorithm developed in recent years. It is starting random solutions, through iterative find the optimal solution, by adapting to uate the quality of the solution, but it' s much simpler than genetic algorithm rule, it is not genetic algorithm " crossover" (Crossover) and " variation" (Mutation ) operation, which by following the current optimum value to search to find the global optimum. This algorithm is its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm. Platform: |
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Author:Charlie |
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Description: 本资源是Mgasa算法解决TSP问题的Matlab代码，资源中包括mgasa_main(Mgasa算法解决TSP问题代码)，mgasa_fitness(适应度求取函数代码)，mgasa_annealing(Mgasa算法中模拟退火代码)，mgasa_select(遗传算法中选择函数代码)，mgasa_crossover(遗传算法中染色体交叉互换函数代码)，mgasa_mutation(遗传算法中基因突变函数代码)，mgasa_change(Mgasa算法中选择过程代码)。同时代码中有Location矩阵，其中30个坐标作为TSP问题的例子。-This resource is Mgasa algorithm to solve the TSP problem matlab code, resources including the mgasa_main, the algorithm Mgasa solutions TSP code, mgasa_fitness (adaptation degree to obtain the function code), mgasa_annealing (Mgasa algorithm simulated annealing of code), mgasa_ (genetic algorithm selection function code), mgasa_crossover (genetic algorithm crossover swap function code), mgasa_mutation(genetic algorithm in gene mutation function code), mgasa_change(algorithm Mgasa selects the process of code). At the same time the code in the Location matrix, where 30 coordinates as an example of the TSP problem.
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Author:lfr |
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Description: 粒子群算法（PSO）属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。该程序适用于MATLAB中粒子群算法的实现。-
Similar to the one of simulated annealing algorithm and particle swarm optimization (PSO) belongs to the evolutionary algorithm, it is also a departure random solutions, through iterative find the optimal solution, it is also uated by the fitness of the quality of the solution, but it is more than Genetic Algorithm Rules more simple, it does not have the genetic algorithm cross (crossover) and variation (mutation) operation, follow it through to the current search to find the optimal value of the global optimum. This algorithm is its easy implementation, high precision, rapid convergence, etc. attracted academic attention, and demonstrated its superiority in solving practical problems. Particle swarm algorithm is a parallel algorithm. This procedure applies to implement MATLAB Particle Swarm Optimization. Platform: |
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Author:原文宾 |
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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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Description: 十进制、二进制遗传算法以及混合遗传算法matlab源代码(Matlab Code for Genetic Algorithm in Bin and Dec format and Mix Genetic Algorithm with an example. 17 files include functions for mutation, hybird, fitness and so on.) Platform: |
Size: 8192 |
Author:T_Y
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Search - mutation in matlab