搜索资源列表
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基于CRAFT的多阶段柔性设备布局优化算法
多阶段设备布局下的总成本包括设备拆装成本、物料搬运成本以及区域利用成本,问题的目标是最小化总成本。首先,在分析问题的基础上,建立基于多阶段设备布局优化目标的数学模型 其次,采用改进的CRAFT启发式算法优化单阶段设备布局 进一步,提出基于单阶段设备布局算法的多阶段启发式算法,优化多阶段设备布局 最后,数值实验表明算法优化后总成本降幅达28.57％.
-CRAFT-based multi-stage flexible equipm
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实现了蚁群算法求解TSP问题。注释详细
function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q)
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主要符号说明
C n个城市的坐标，n×2的矩阵
NC_max最大迭代次数
m蚂蚁个数
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Karge Thompson算法的MATLAB源程序。-The algorithm of Karge Thompson is a heuristic algorithm that allows to obtain, given a specific group of jobs to be produced, the best sequence in terms of time
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蚁群聚类算法及其源码。是蚁群算法跟聚类算法的结合，启发式搜索社团结构。-Ant colony clustering algorithm and its source code. Ant colony algorithm with the clustering algorithm is a combination of heuristic search community structure.
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調和搜尋演算法(Harmony Search HS)是將樂團演奏表現調整至最協調且美妙的現象引用到最佳化演算系統當中，而發展出一套全新的啟發式演算法-Reconcile the search algorithm (Harmony Search HS) is the Orchestra performance of coordinated and adjusted to the most wonderful reference to the best of the phenomenon
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粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。-Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one
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蚁群算法，通过本算法，可以用以求解NP问题最优值，属于启发算法-Ant colony algorithm, the algorithm can be used to solve the problem of the optimal value of the NP, is heuristic algorithm
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最小增量法的代码，是用来求解邮递员问题的改进启发式方法，能求得近似解-The small increments, the code is used to solve the problem of a heuristic method to improve the postman, i can procure approximate solutions
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蚁周模型，解决TSP问题。蚁群算法是一种新型高效的启发式优化算法,在解决优化组合问题特别是TSP求解问题上具有很高效率.-Ants week model, to solve the TSP. The ant colony algorithm is a new and efficient heuristic optimization algorithm, to solve the problem of optimal combination, especially TSP solving prob
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多目标车辆路径算法matlab程序，号称是遗传算法，实际是启发式算法实现-Multi-objective vehicle routing algorithm matlab program, known as genetic algorithms, heuristic algorithm is actually
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用遗传算法求解背包问题，用启发式算法求解背包问题。-Knapsack problem using genetic algorithm, heuristic algorithm for solving knapsack problem.
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In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutio
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bat algorithm source code
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应用启发式算法-粒子群算法PSO，解决物流配送中心选址问题，结果好的解决了上述问题，值得参考。-PSO Particle Swarm algorithm using heuristic algorithm to address the logistics distribution center location problems, resulting in a good solution for this problem, it is also useful.
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区别于以往传统最短路算法，如：Dijkstra算法或者Floyd算法。该算法为启发式最短路径搜寻算法：A STAR-Finding the shortest path: a heuristic algorithm named A STAR
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A genetic algorithm (GA) is a search heuristic that mimics the process of natural selection.
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简单的基于matlab的启发式搜索算法。-The matlab simulation method of heuristic search algorithm。
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启发式算法的TSP的matlab程序，包含模拟退火算法与遗传算法。(Heuristic algorithm of TSP matlab program, including simulated annealing algorithm and genetic algorithm.)
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用于解决TSP的启发式算法的matlab程序，包含模拟退火算法与遗传算法。(Matlab program for solving TSP heuristic algorithm, including simulated annealing algorithm and genetic algorithm.)
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基于启发式算法（Heuristic Algorithm, HA）与修复遗传算法（Repairing Genetic Algorithm, RGA)相结合的文化基因算法（Memetic Algorithm, MA）是一种较为迅速的最优算法(The Memetic Algorithm (MA) based on Heuristic Algorithm (HA) and repair Genetic Algorithm (RGA) is a relatively fast optimal Algori
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