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模拟退火c++的算法程序
- 模拟退火c++的算法程序，广泛应用于最优化、运筹学、人工智能、遗传算法等领域，具有很好的学习价值-simulated annealing algorithm procedures, the most widely used optimization, operations research, artificial intelligence, genetic algorithms and other areas of learning is very good value
模拟退火算法、遗传算法求解TSP修改版2
- 模拟退火法，最新的源代码，可以解压缩后直接使用，非常方便，很适用的-simulated annealing method, the latest source code can be extracted directly after use, very convenient, very applicable
遗传算法和模拟退火算法相结合的并行实现
- 遗传算法和模拟退火算法相结合的并行实现-genetic algorithms and simulated annealing algorithm combining the parallel implementation
包括蚁群，模拟退火，遗传，神经网络，禁忌搜索等智能优化算法对TSP问题的解决
- 包括蚁群，模拟退火，遗传，神经网络，禁忌搜索等智能优化算法对TSP问题的解决，matlab程序。
模拟退火算法和遗传算法TSP
- 模拟退火算法和遗传算法TSP模拟退火算法和遗传算法TSP
shengtai543
- 模拟退火算法和遗传算法程序 用matlab语言实现的-Simulated annealing algorithm and genetic algorithm matlab language program with the
SAGA
- 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
GASA
- 图像分割的优化算法，结合了遗传算法和模拟退火算法，并将优化算法和原始otsu方法进行了比较-Optimization of image segmentation algorithm that combines genetic algorithm and simulated annealing algorithm and optimization algorithm and the original method otsu are compared
matlabSA
- matlab 模拟退火算法 内含遗传算法及迭代过程-simulated annealing algorithm matlab implicit and iterative process of genetic algorithm
123
- 绝对经典的模拟退火算法源文件 含遗传算法-Absolute classic simulated annealing algorithm with genetic algorithm source files
GODLIKE
- 遗传算法与模拟退火,粒子群算法的结合与比较实验.稍微修改就可以学习应用-Genetic algorithms and simulated annealing, particle swarm optimization algorithm and comparison with experiment. A slight modification can learn the application of
psoandimprovedpso
- 基本粒子群优化算法和改进粒子群优化算法程序，包括：用基本粒子群算法求解无约束优化问题，用带压缩因子的粒子群算法求解无约束优化问题，用线性递减权重粒子群优化算法求解无约束优化问题，用自适应权重粒子群优化算法求解无约束优化问题，用随机权重粒子群优化算法求解无约束优化问题，用学习因子同步变化的粒子群优化算法求解无约束优化问题，用学习因子异步变化的粒子群优化算法求解无约束优化问题，用二阶粒子群优化算法求解无约束优化问题，用二阶振荡粒子群优化算法求解无约束优化问题，用混沌粒子群优化算法求解无约束优化问题，
TSP
- 有遗传算法及模拟退火算法对TSP的应用，有框架窗口。-A genetic algorithm and simulated annealing algorithm for TSP applications, there are frame window.
geneticalgorithmandsimulatedannealingalgorithm
- 建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simu
taiozhanbei
- 用遗传算法和模拟退火算法解决旅行商方面的问题-The genetic algorithm and simulated annealing algorithm to solve traveling salesman problems
TSP
- 用模拟退火算法和遗传算法实现TSP旅行商问题，并可以用Matlab对结果进行图形显示分析，非常实用于初学者-Using simulated annealing algorithm and genetic algorithm traveling salesman problem TSP, and the results can be used Matlab graphics analysis, very useful for beginners
GA_test
- 遗传算法：二进制、单点交叉、单点变异、轮盘赌、模拟退火(默认无)、最优个体保留(默认无)-Genetic algorithm: binary, single-point crossover, single-point mutation, roulette, simulated annealing (default no), best individual reservations (default no)
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