搜索资源列表
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遗传算法解决作业车间调度问题，,这一M文件计算工序的加工顺序与加工时间-Genetic algorithms to solve the job shop scheduling problem,, the M-file to calculate the value of the objective function.
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运用遗传算法解决作业车间调度问题，此M文件为调度问题的主程序代码。-The use of genetic algorithms to solve the job shop scheduling problem, this M-file for the main program code scheduling problems.
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matlab智能算法 基于多层编码遗传算法解决车间调度问题-genetic algorithm job-shop scheduling problem
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Genetic algorithm to solve job shop scheduling ,,using matlab environment and scheduling job ,machine,tasks and the like ,,because of Genetic Algorithm can give optimal solution ,we use it and initialize it with a population and generation
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OptaPlanner是一个轻型嵌入式优化的规划引擎，可以解决雇员排班、日程调度、课程表、车间调度等问题。-OptaPlanner is a lightweight, embeddable planning engine that optimizes planning problems. It solves use cases, such as:
Employee shift rostering: timetabling nurses, repairmen, ...
Agen
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job shop scheduling program
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该算法是将sigmoid函数的变形函数应用到自适应遗传算法中，并将作业车间调度问题中的完工时间大小作为算法的评价指标，实现了交叉率和变异率随着完工时间的非线性自适应调整，较好地克服了标准遗传算法在解决作业车间调度问题时的“早熟”和稳定性差的缺点，以及传统的线性自适应遗传算法收敛速度慢的缺点。-The algorithm is the deformation function sigmoid function is applied to the adaptive genetic algorithm
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job shop scheduling algorithm written in matlab
it sis the most combinatorial problem searched in the las decades
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基于遗传算法的车间调度，用matlab实现-
Job shop scheduling based on genetic algorithm
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车间调度工序的实现在MATLAB程序中基于遗传算法-
The realization of job shop scheduling in MATLAB program
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使用PSO粒子群算法解决车间调度问题，无需输入数据，可以直接运行-Use PSO particle swarm algorithm to solve shop scheduling problem without having to enter data, you can directly run
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改进的遗传算法，主要用于求解柔性作业车间调度问题(The improved genetic algorithm is mainly used to solve the flexible job shop scheduling problem)
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用粒子群算法求解车间调度问题，包含甘特图的制作程序(Particle swarm optimization algorithm for job shop scheduling problem, including Gantt chart)
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车间调度 流水异构计算系统中的任务分配与调度问题的遗传算法通用MATLAB函数(Job shop scheduling flow)
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A web service available at isima fr website. Platform is Net Beans
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Available from isima fr (france) website. Based on Net Beans
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对于柔性车间调度模型的简单算法优化，在已建立好的模型上利用仿真来优化模型(Optimization of Simple Algorithm for Job Shop Scheduling Model)
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遗传算法有较强的问题解决能力，这个地方用他解决车间调度问题(Genetic algorithm has a strong problem solving ability, this place uses it to solve the job shop scheduling problem)
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Job-shop车间调度遗传算法
FT06,6个工件6道工序6台设备
采用基于工序的编码方式(Job-shop genetic algorithm for job shop scheduling
FT06,6 pieces, 6 processes, 6 equipment
Coding based on process)
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采用粒子群优化算法解决6*6车间调度问题(Solving job shop scheduling with PSO)
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