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paikepdf1
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排课问题是一个有约束的、多目标的组合优化问题,并且已经被证明是一个NP完全问题。 遗传算法借鉴生物界自然选择和自然遗传机制,使用群体搜索技术,尤其是用于处理传统搜索方法难以解决的复杂的和非线性的问题。经过近40年的发展,遗传算法在理论研究和实际应用中取得了巨大的成功,本文将遗传算法用于排课问题的求解,首先讨论了排课问题中的影响因素、主要约束条件、求解目标和难点,并用数学模型完整地描述了排课问题。其次对多个模糊排课目标进行了定量分析,建立了排课优化目标空间。针对排课问题研究了染色体编码方式以及遗传算子的设计,提出了适应度函数的计算方法。最后对排课问题进行了实验。实验结果表明,其过程的目标值跟踪显示,算法稳健趋优,所得结果令人满意。-Course Scheduling problem is a constrained, multi-objective optimization problem, and has proven to be a NP complete problem. Genetic algorithms reference biosphere and the natural genetic mechanism of natural selection, using the group search technology, particularly the traditional search methods for handling complex and difficult to solve nonlinear problems. After nearly 40 years of development, the genetic algorithm in the theoretical study and practical application was a great success, this paper genetic algorithm for solving the course timetabling problem, first discussed the impact of factors in the course arrangement, the main constraints, to solve goals and difficulties, and a complete mathematical model to describe the course arrangement. Arranging multiple fuzzy goals followed by a quantitative analysis, the optimal target Arranging space. Arranging for the Study of the chromosome coding and genetic operators design, proposed fitness function is calculated. Finally, the co
Date
: 2025-12-28
Size
: 1.23mb
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张林杰
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Higher-Math-problems-in-MATLAB
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本书首先介绍了MATLAB语言的程序设计的基本内容,在此基础上系统介绍了各个应用数学领域的问题求解,如基于MATLAB的微积分问题、线性代数问题的计算机求解、积分变换和复变函数问题、非线性方程与最优化问题、常微分方程与偏微分方程问题、数据插值与函数逼近问题、概率论与数理统计问题的解析解和数值解法等。还介绍了较新的非传统方法如模糊逻辑与模糊推理、神经网络、遗传算法、小波分析、粗糙集及分数阶微积分学等领域。本书可作为一般读者学习和掌握MATLAB语言的教科书,也可作为高校理工科各类专业的本科生和研究生学习计算机数学语言的教材和参考书,可供科技工作者、教师作为学习和应用MATLAB语言解决实际数学问题的参考资料,还可作为读者查询某数学问题求解方法的手册。-This book introduces the MATLAB language programming to the basic content, on the basis of this system introduces the various applications of mathematics problem solving, such as those based on MATLAB calculus, linear algebra problem solving by computer, integral transforms and complex variable function problems, nonlinear equations and optimization problems, ordinary differential equations and partial differential equation problem, data interpolation and function approximation problem, probability theory and mathematical statistics analytical solution and numerical solution. Also introduced a new non traditional methods such as fuzzy logic and fuzzy reasoning, neural network, genetic algorithm, wavelet analysis, rough sets and fractional calculus and other fields. This book can be used as ordinary readers to study and master the MATLAB language textbooks, also can be used as the University s science and engineering of various kinds of professional undergraduate and graduate study in c
Date
: 2025-12-28
Size
: 51.51mb
User
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詹瑞
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Mathematical_Modeling_code
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数学建模中常用的方法:类比法、二分法、差分法、变分法、图论法、层次分析法、数据拟合法、回归分析法、数学规划(线性规划,非线性规划,整数规划,动态规划,目标规划)、机理分析、排队方法、对策方法、决策方法、模糊评判方法、时间序列方法、灰色理论方法、现代优化算法(禁忌搜索算法,模拟退火算法,遗传算法,神经网络)-Mathematical modeling methods commonly used: analog, Dichotomy, difference method, variational method, graph theory, analytic hierarchy process, data fitting, regression analysis, mathematical programming (linear programming, nonlinear programming, integer programming, dynamic programming, goal programming), mechanism analysis, queuing, countermeasure methods, decision-making methods, fuzzy uation method, time series method, gray theory, modern optimization algorithms (tabu search algorithm, simulated annealing algorithm, genetic algorithms, neural networks)
Date
: 2025-12-28
Size
: 3.97mb
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Charlie
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MATLAB-neural-network-43-case
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关于神经网络的案例和源代码 一共43个。 BP神经网络的数据分类,BP神经网络的非线性系统建模,遗传算法优化BP神经网络等等。-Cases and Source Code on Neural Networks. A total of 43. Data classification BP neural network, nonlinear system BP neural network modeling, genetic algorithm optimization BP neural network and so on.
Date
: 2025-12-28
Size
: 22.73mb
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言身寸
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MATLAB-based-genetic-algorithm
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基于MATLAB的遗传算法。遗传算法是以自然选择和遗传理论为基础,将生物进化过程中适者生存规则与群体内部染色体的随机信息交换机制相结合算法。它提供了一种求解非线性、多模型、多目标等复杂系统优化问题的通用框架。-MATLAB Genetic Algorithms. Genetic algorithm based on natural selection and genetic theory, the process of biological evolution and the survival of the fittest rules of random information exchange mechanism within the group chromosome combined algorithm. It provides for solving nonlinear, multi-model, multi-objective optimization problems of complex systems such as a common framework.
Date
: 2025-12-28
Size
: 9.25mb
User
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梁家理
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tiuning
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The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Multivariate least squares fitting method of nonlinear equations, Genetic algorithm based reactive power optimization.
Date
: 2025-12-28
Size
: 4kb
User
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seisoufuibao
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