搜索资源列表
AGP-NNBP
- 遗传模拟退火算法通用源程序 给定群体规模,群体,种群,初始温度-genetic simulated annealing definitive source given population size, population, population, the initial temperature
MCRGSA
- MCRGSA------组播路由问题遗传模拟退火算法 ％M-----------遗传算法进化代数 ％N-----------种群规模，取偶数 ％Pm----------变异概率调节参数 ％K-----------同一温度下状态跳转次数 ％t0----------初始温度 ％alpha-------降温系数 ％beta--------浓度均衡系数 ％ROUTES------备选路径集 ％Num---------到各节点的备选路径数目 ％Cost-------
modern_youhua
- 现代最优化算法（有170多页的PPT，2010年的） 分为三个部分 Part 1 概论 Part 2 模拟退火算法 Part 3 遗传算法 现在常用的优化算法 禁忌搜索算法 模拟退火算法 遗传算法 人工神经网络 蚁群算法 粒子群算法 混合算法-Modern optimization algorithm is divided into three parts Part 1 Part 2 Introduction Part 3 simul
simulated-annealing-genetic-method
- 一种新型的算法，将模拟退火法和遗传算法相结合，用于求解预测问题-A new algorithm, simulated annealing and genetic algorithm are combined to solve the prediction problem for
TSP-based-on-improved-pso
- 基于对粒子群优化算法原理的分析，实现了一种基于TSP的改进的粒子群优化算法：求解TSP的混合粒子群算法，结合遗传算法、蚁群算法和模拟退火算法的思想来解决TSP问题。-Particle swarm optimization based on the principle of the analysis, implemented based on TSP, improved particle swarm optimization algorithm: solving the TSP hybrid pa
computer_classical_arithmetic
- 该文件主要为分治策略、概率算法、回溯算法、枚举法、模拟退火算法、排序算法、搜索算法、贪心算法、遗传算法、蚁群算法的介绍及实现方式-The document mainly divide and conquer, probabilistic algorithms, backtracking algorithm, enumeration method, simulated annealing algorithm, sorting algorithm, search algorithm, greedy
GA_tuihuo1
- 模拟退火优化遗传算法，改进了遗传操作，自适应参数(improved simulated annealing and optimized genetic algorithm)
遗传模拟退火算法
- 介绍了遗传算法和退火算法的结合使用，提高了GA本身的性能(introduce a method combine GA with SA to make a difference to GA)
模拟退火禁忌搜索遗传算法神经网络MATLAB程序合集
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集(Simulated annealing, tabu search, genetic algorithms, neural networks - MATLAB collection)
遗传算法处理NURBS曲线逼近（Matlab实现）
- 在Matlab平台上采用将模拟退火算法及遗传算法相结合的曲线拟合方法，实现以任意次数、任意顶点数的非均匀有理B样条（NURBS）曲线逼近给定测量点序列(On the Matlab platform, we use the curve fitting method combining simulated annealing algorithm and genetic algorithm to achieve the sequence of a given measurement point wit
模拟退火，遗传算法，神经网络程序
- 模拟退火，遗传算法，神经网络程序高级算法的简单运用，是有效的计算出最优的方法，相比于暴力搜索，算法简洁，运行时间短(The application of simulated annealing, genetic algorithm and advanced algorithm of neural network program is the best way to calculate effectively. Compared with violent search, the algorithm
算法
- floyd算法又称为插点法，是一种利用动态规划的思想寻找给定的加权图中多源点之间最短路径的算法，模拟退火算法是局部最优解能概率性地跳出并最终趋于全局最优，遗传算法是一种通过模拟自然进化过程搜索最优解的方法。(The Floyd algorithm is also known as the insertion point method, which is a multi weighted graph using the idea of dynamic programming for the giv
SAGAexp.m
- 遗传算法和模拟退火算法融合，解决遗传算法早熟问题。(Fusion of genetic algorithm and simulated annealing algorithm)
arithmetic
- 用Java分别实现了遗传、模拟退火、BP的旅行商问题(The traveling salesman problem of heredity, simulated annealing and BP was realized by Java)
模拟退火算法和遗传算法程序
- 使用MATLAB编写的模拟退火算法和遗传算法的源代码(The source code of the simulated annealing algorithm and genetic algorithm written in MATLAB)
遗传算法退火算法
- 利用MATLAB实现模拟退火算法的在各实际情况中的应用(The application of simulated annealing algorithm.)
模拟退火和模糊C均值分类
- 遗传模拟优化初始聚类中心,模糊C均值聚类(Genetic algorithm is used to optimize initial clustering centers and fuzzy C means clustering.)
GASA
- 运用模拟退火遗传算法解决路径优化问题，其中已给出中文注释(GASA for VPR.Simulated Annealing Genetic Algorithms (SAGA) is used to solve the problem of path optimization, in which Chinese annotations are given.)
遗传退火算法fortran实现
- 遗传算法与模拟退火算法的混合算法，用于最优化问题的求解。(The hybrid algorithm of genetic algorithm and simulated annealing algorithm is used to solve the optimization problem.)
111
- 用于求解带时间窗的多车场的配送路径优化问题，即vrp问题，算法是基于模拟退火算法和遗传算法的混合算法(The algorithm is a hybrid algorithm based on simulated annealing algorithm and genetic algorithm, which is used to solve the distribution path optimization problem of multi depot with time window)