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Description: 本文介绍了nn+ga+sa+fuzzy等算法的总结性的东西，对于这些算法有初步认识，很有帮助-nn sa ga fuzzy algorithms such as a summary of things, these algorithms have an initial understanding and helpful
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Size: 273385 |
Author: ge |
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Description: 关于电力系统无功优化方面的论文，使用GA/SA/TS三种混合的方法进行优化。
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Size: 432451 |
Author: xiaofang |
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Description:
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Size: 273408 |
Author: ge |
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Description: 采用遗传算法和模拟退火算法解决ＶＬＳＩ中的布局优化问题
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Size: 389120 |
Author: 肖玲俐 |
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Description: 实现了TS，SA，GA，ENA，MGLS等一系列现代优化算法，包括benchmark-Realize the TS, SA, GA, ENA, MGLS a series of modern optimization algorithms, including the benchmark
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Size: 6029312 |
Author: yeoman |
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Description: 关于电力系统无功优化方面的论文，使用GA/SA/TS三种混合的方法进行优化。-With regard to reactive power optimization papers, the use of GA/SA/TS hybrid three optimization methods.
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Size: 432128 |
Author: xiaofang |
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Description: 各种算法的TSP源码，包含GA、SA、TS、ANN。-TSP source of various algorithms, including GA, SA, TS, ANN.
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Size: 8192 |
Author: |
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Description: matlab模拟退火算法工具箱，很好的解决了matlab没有专门的工具箱的问题-Simulated annealing
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Size: 60416 |
Author: 杨海刚 |
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Description: it is a matlab program for ga sa tabu sworm opt heuristics we can also use matlab here. or there can
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Size: 9216 |
Author: virendra |
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Description: GA遗传算法的实现,比较的其它算法，优势，应用-GA APPROCH ASAD ERWFWEW AHUSIA XJASIO AP PA A---Q SA AS GGH JHM HBVX DFDVBGHNHN
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Size: 185344 |
Author: ARVIN_NG |
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Description: 主要介绍智能优化算法的程序，有GA、SA算法-Intelligent optimization algorithms introduced the program, there are GA, SA algorithm
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Size: 12238848 |
Author: hugh |
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Description: 模拟退火（SA）、遗传算法（GA）、粒子群优化（PSO）解决旅行商问题（TSP）实验
本文件包括源码，实验说明文档，实验总结PPT
Have a happy experiment！-Simulated annealing (SA), genetic algorithms (GA), particle swarm optimization (PSO) to solve the traveling salesman problem (TSP) experiment of this document, including source code, test documentation, test summary PPT Have a happy experiment!
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Size: 348160 |
Author: pu |
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Description: This paper provides the review of literature benchmarks (test functions)
commonly used in order to test optimization procedures dedicated for multidimensional,
continuous optimization task. Special attention has been paid to multiple-extreme functions, treated as the quality test for “resistant” optimization
methods (GA, SA, TS, etc.)
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Size: 2234368 |
Author: omid |
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Description:
数学建模中的常用算法 - 算法分析 - 道客巴巴
数学建模中的常用算法 成都信息工程...最优化理论的三大非经典算法: 模拟退火法SA、神经网络NN、遗传算法GA 近几年的...
-Commonly used mathematical modeling algorithm- Algorithm Analysis- Road passenger Baba mathematical modeling algorithms used in the Chengdu University of Information ... optimization theory of the three non-classical algorithms: simulated annealing SA, neural network NN, GA GA near years ...
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Size: 5120 |
Author: chen |
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Description: 研究了两种全局优化算法:遗传算法( Genetic Algorithm , GA) 和模拟退火(Simulated Annealing ,SA) ,并且比较了它们在神经网络优化中的性能。-Study of two global optimization algorithms: genetic algorithm (Genetic Algorithm, GA) and simulated annealing (Simulated Annealing, SA), and compared them to the performance of neural network optimization.
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Size: 23552 |
Author: fy |
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Description: GA比起SA ，最大的优势在于对个初始解，而且存在杂交和变异，让SA具有非常强的跳出局部最优解的能力。而且简单通用，健壮性强。但是待定的参数很多，而且计算速度比较慢。选择，杂交，变异算子的选取也很关键。-GA than SA, the biggest advantage of an initial solution, and there is hybridization and mutation, so that SA has a very strong ability to jump out of local optima. And simple generic, robust and strong. However, many parameters to be determined, and the calculation speed is slower. Selection, hybridization, mutation operator selection is also critical.
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Size: 89088 |
Author: JLH |
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Description: This paper provides the review of literature benchmarks (test functions)
commonly used in order to test optimization procedures dedicated for mul-
tidimensional, continuous optimization task. Special attention has been paid
to multiple-extreme functions, treated as the quality test for “resistant” opti-
mization methods (GA, SA, TS, etc.)
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Size: 2234368 |
Author: payal |
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Description: 用遗传算法--模拟退火算法求解车辆路径问题。-Using genetic algorithms- simulated annealing algorithm for vehicle routing problem.
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Size: 11264 |
Author: 马文 |
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Description: simplified swarm optimization的matlab版本，可以節省寫程式的時間。本程演算法已驗證可以在某些問題上找到比pso、ga、sa、ts、aco等演算法更好的解。-simplified swarm optimization in matlab version, you can write a program to save time. The scheduling algorithm has been verified can find better than pso, ga, sa, ts, aco solution algorithms, such as on certain issues.
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Size: 1024 |
Author: Don Lai |
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Description: SA GA PSO等算法及改进的算法，以及Griewank 函数的matlab代码(SA GA PSO algorithm and improved algorithm, as well as the matlab code of Griewank function)
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Size: 5120 |
Author: 萧瑟一笑 |
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