Description: 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 Platform: |
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Author:张林杰 |
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Description: 基于遗传算法的车间布局优化MATLAB源码
车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。
-Layout based on genetic algorithms optimization MATLAB Optimization is the source plant processing equipment, material handling equipment, work unit and channel corridors reasonable layout objects placed in a limited course of the production workshop. Optimization Model is a workshop with more complex nonlinear continuous constrained optimization model, you can use the genetic algorithm optimization. Platform: |
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Author:jack |
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Description: 针对通信网络中多重QoS约束条件下的多播路由计算，提出了一个基于模拟退火技术的改进遗传算法HGA-QoSR。该算法把模拟退火技术的局部寻优能力与遗传算法的全局寻优能力有机结合，并利用隔离小生境机制控制种群的独立进化，使演化过程中的种群保持生态多样性，以提高算法运行效率和解的质量。理论分析和仿真实验表明，与传统遗传算法相比较，该算法性能有显著改进。 -Communication networks for multi-QoS Constrained multicast routing calculation, proposed a simulated annealing technique based on improved genetic algorithm HGA-QoSR. The algorithm to simulated annealing and local optimization ability of genetic algorithms global optimization ability of organic combination and isolation niche mechanism to control the use of independent evolution of populations, the evolution of the species to maintain ecological diversity, to improve the algorithm efficiency settlement quality. Theoretical analysis and simulation results show that compared with traditional genetic algorithm, the algorithm performance significantly improved. Platform: |
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Author:S514506227 |
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Description: 约束优化问题在matlaB中的实现，压缩包里面包含讲义和源代码。-Constrained optimization problem in MATLAB to achieve compression package contains the lecture notes and source code. Platform: |
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Author:安迪 |
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Description: 于BP网络的权值优化是一个无约束优化问题，而且权值要采用实数编码，所以直接利用Matlab遗传算法工具箱。以下贴出的代码是为一个19输入变量，1个输出变量情况下的非线性回归而设计的，如果要应用于其它情况，只需改动编解码函数即可。-BP network weights optimization is a constrained optimization problem, and the right value to real-coded, so the direct use of the Matlab genetic algorithm toolbox. The code posted below is a 19 input variables, a nonlinear regression in the case of the output variable designed to be applied to other circumstances, only changes to the encoding and decoding functions can be. Platform: |
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Author:fuhai |
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Description: 主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。-The main description Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem, " a semi-infinite constrained multi-function optimal solution, minimization great (MinMax), a multi-objective programming problems, least squares optimization problem and non- linear equation (group) to solve. Platform: |
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Author:candy |
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Description: 在matlab r2010a环境下编写的newton-lagrange算法，可以求解约束优化问题，程序返回目标函数值及拉格朗日乘子。-In matlab r2010a environment prepared newton-lagrange algorithms can solve constrained optimization problems, the program returns the value of the objective function and Lagrange multipliers. Platform: |
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Author:程征 |
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Description: 罚函数法将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法Matlab源程序-Penalty function method will be constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function method in Matlab source Platform: |
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Author:lucy |
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Description: 罚函数法是将有约束最优化问题转化为求解无约束最优化问题。在此给出罚函数法的Matlab源程序。-Penalty function method is a constrained optimization problem into solving unconstrained optimization problems. This gives the penalty function in Matlab source. Platform: |
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Author:lucy |
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Description: 《最优化方法及其Matlab程序设计》较系统地介绍了非线性最优化问题的基本理论和算法，以及主要算法的Matlab程序设计，主要内容包括（精确或非精确）线搜索技术、最速下降法与（修正）牛顿法、共轭梯度法、拟牛顿法、信赖域方法、非线性最小二乘问题的解法、约束优化问题的最优性条件、罚函数法、可行方向法、二次规划问题的解法、序列二次规划法等。-" Optimization Methods and Matlab programming" more systematic introduction to the basic theory and algorithms nonlinear optimization problem and the main algorithm Matlab programming, the main contents include (exact or non-exact) line search technique, the steepest descent method and (corrected) Newton method, conjugate gradient method, quasi-Newton method, trust region methods, solution of nonlinear least squares problems, constrained optimization problem optimality conditions, penalty function method, feasible direction method, quadratic programming problems The solution, the sequential quadratic programming method. Platform: |
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Author:若相见 |
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Search - constrained optimization matlab