Description: 外国人编写的有用的 NSNA-II程序有详细的文档说明-NSGA ( [5]) is a popular non-domination based genetic algorithm for multi-
objective optimization. It is a very e® ective algorithm but has been generally
criticized for its computational complexity Platform: |
Size: 164864 |
Author:炯炯 |
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Description: TSP贪心算法C++ ,很有用的源代码哦-based genetic algorithm for multi-
objective optimization. It is a very e® ective algorithm but has been generally
criticized for its computational complexit Platform: |
Size: 1024 |
Author:炯炯 |
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Description: 运用遗传算法进行多元多峰函数优化，多目标问题优化！有案例！可以运行！-using Genetic Algorithm to test multi-peak function and multi-objective function. Platform: |
Size: 4096 |
Author:liulifun |
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Description: 基于NSGA-Ⅱ算法的区域覆盖卫星星座优化将一种基于Pareto最优概念的快速非支配排序遗传算法(NSGA-Ⅱ)引入区域覆盖侦察卫星星座的多目标优化设计-Algorithm based on NSGA-Ⅱ regional coverage satellite constellation will be based on the concept of Pareto optimal fast non-dominated sorting genetic algorithm (NSGA-Ⅱ) the introduction of regional coverage reconnaissance satellite constellation design of multi-objective optimization Platform: |
Size: 409600 |
Author:刘欣 |
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Description: 包含多目标遗传算法于深入了解NSGA及NAGA2算法有一定帮助-Includes multi-objective genetic algorithm NSGA and NAGA2 in-depth understanding of a certain algorithm to help Platform: |
Size: 202752 |
Author:standy17 |
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Description: 该用matlab 实现的遗传算法可以用于多目标有约束优化，是我最近学习matlab时一个视频上讲的例子，视频在土豆网搜“matlab全局优化方法及应用”。希望多大家有用。-This genetic algorithm can be used to solve the multi-objective optimization. Platform: |
Size: 1024 |
Author:张毅 |
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Description: SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行
优化。-SGA (Simple Genetic Algorithm) is a powerful, intelligent multi-variable optimization algorithm, which imitate the laws of population reproduction is optimized. Platform: |
Size: 1024 |
Author:冯紫藤 |
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Description: 设计特定的进化操作或约束修正因子。文献[ 28 ]采用罚函数法,利用非固定多段映射罚函数对约束优化问题进行转化,再利用PSO求解转化后的问题,仿真结果显示PSO相对进化策略和遗传算法有优越性,但其罚函数的设计过于复杂,不利于求解-Operation or design of the evolution of specific binding correction factor. Literature [28] The penalty function method, using non-stationary multi-stage fine mapping function to transform constrained optimization problem, and then transformed using PSO to solve the problem, simulation results show that PSO is relatively evolution strategy and genetic algorithm has advantages, but the penalty function The design is too complex and not conducive to solving Platform: |
Size: 2048 |
Author:杨科 |
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Description: 遗传算法计算多目标规划问题
使用简单，语言明了-Multi-objective genetic algorithm is planning to use simple, clear language Platform: |
Size: 7168 |
Author:小笨笨晗晗 |
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Description: C++多目标遗传算法Kumara Sastry
Illinois Genetic Algorithms Laboratory
Department of Industrial and Enterprise Systems Engineering
-C++ multi-objective genetic algorithm Kumara Sastry Illinois Genetic Algorithms Laboratory Department of Industrial and Enterprise Systems Engineering Platform: |
Size: 235520 |
Author:leilei |
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Description: 用该遗传算法程序解决多峰值函数的优化问题，输出结果和图形！-Using the genetic algorithm program to solve the optimization problem of multi-peak function, output and graphics! Platform: |
Size: 7168 |
Author:高敬辉 |
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Description: 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file). Based on MATLAB Optimization Toolbox, the content code contains: Newton and other non-binding one-dimensional extremum problems, such as simplex search method for unconstrained multi-dimensional extremum problems, Rosen gradient projection method and other constrained optimization problems, LM non-linear law least squares optimization problem, linear programming, integer programming, quadratic programming, particle swarm optimization, genetic algorithm. Platform: |
Size: 41984 |
Author:吴 |
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Description: SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行
优化。
本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；
单点变异，浮点变异；-SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum is) and support for floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform Cross, floating-point crossover single point mutation, floating-point mutation Platform: |
Size: 5120 |
Author:王龙隐 |
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Description: 基于遗传算法的简单一元函数和多元单峰函数的优化(基于Sheffield的遗传算法工具箱)-A simple genetic algorithm and multi-functions of one variable optimization of a single peak function Platform: |
Size: 1024 |
Author:秦臻 |
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Search - genetic algorithm multi