Description: 约束最优化,我想换点MATLAB应用程序,-constrained optimization, I would like to point for MATLAB applications, thank you Platform: |
Size: 5271 |
Author:朱凯 |
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Description: 对工作分配进行多次优化,直到找到最优的分配方式。 首先将所有工作交给能力最强的人做,然后找出最低安全值和最高安全值,此时将未分配工作的人的能力值当作安全值参与判断,把安全值最低者分配的仓库数减一,并将这个仓库交给安全值最高者看守,然后进入下次优化,在新一次优化过程中把最低安全值和上次优化时的最低安全值作比较,如果这次最低安全值比上次大,则继续进行优化,若系统最低安全值相比上次下降,则说明上次优化后的结果已经是最优,即得结果。-work on a number of distribution optimization, until they found the optimal method of distribution. First of all to the most capable people to do and then find the minimum value and maximum security safety value has been assigned to this work of the human capacity as a safety value in judging the value safety, the lowest value of the distribution by a few warehouses and storage to the value of the highest security guards, and then proceed to the next optimization of the new optimization process a minimum safe value and optimization of the last minimum safety value for comparison, if the value of the last minimum security, will continue to optimize, if the minimum safety systems compared to the previous decline in value, a statement last optimize the result is optimal, that is the findings. Platform: |
Size: 879278 |
Author:周驰原 |
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Description: 对工作分配进行多次优化,直到找到最优的分配方式。 首先将所有工作交给能力最强的人做,然后找出最低安全值和最高安全值,此时将未分配工作的人的能力值当作安全值参与判断,把安全值最低者分配的仓库数减一,并将这个仓库交给安全值最高者看守,然后进入下次优化,在新一次优化过程中把最低安全值和上次优化时的最低安全值作比较,如果这次最低安全值比上次大,则继续进行优化,若系统最低安全值相比上次下降,则说明上次优化后的结果已经是最优,即得结果。-work on a number of distribution optimization, until they found the optimal method of distribution. First of all to the most capable people to do and then find the minimum value and maximum security safety value has been assigned to this work of the human capacity as a safety value in judging the value safety, the lowest value of the distribution by a few warehouses and storage to the value of the highest security guards, and then proceed to the next optimization of the new optimization process a minimum safe value and optimization of the last minimum safety value for comparison, if the value of the last minimum security, will continue to optimize, if the minimum safety systems compared to the previous decline in value, a statement last optimize the result is optimal, that is the findings. Platform: |
Size: 878592 |
Author:周驰原 |
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Description: 约束最优化,我想换点MATLAB应用程序,-constrained optimization, I would like to point for MATLAB applications, thank you Platform: |
Size: 5120 |
Author:朱凯 |
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Description: 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocation of PSO algorithm (Dynamic Community Assigna tion-based Particle Swarm Optimization, CDAPSO). New Algorithm for dynamic change particle group's organizational structure and distribution to maintain the optimization process enlightening information diversity, thus the overall admission search capability has been significantly improved, and can effectively prevent premature convergence. Platform: |
Size: 6144 |
Author:wuyuqian |
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Description: 蚁群算法是一种求解组合最优化问题的新型通用启发式方法,该方法具有正反馈、分布式计算和富于建设性的贪婪启发式搜索的特点。通过建立适当的数学模型,基于故障过电流的配电网故障定位变为一种非线性全局寻优问题-Ant colony algorithm is a combinatorial optimization problem to solve a new type of general-purpose heuristic method, the method has positive feedback, distributed computing and constructive greedy heuristic search features. Through the establishment of appropriate mathematical model, based on the fault over-current distribution network fault location into a nonlinear global optimization problem Platform: |
Size: 3072 |
Author:陈艳玲 |
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Description: A New Optimization Model for Dynamic Power and Sub-Carrier -A New Optimization Model for Dynamic Power and Sub-Carrier Platform: |
Size: 172032 |
Author:zy |
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Description: 微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运
动行为的研究,是一种新的群体智能优化算法,是演化计算领域中的一个新的分支。它
的主要特点是原理简单、参数少、收敛速度较快,所需领域知识少。该算法的出现引起
了学者们极大的关注,已在函数优化、神经网络训练、组合优化、机器人路径规划等领
域获得了广泛应用,并取得了较好的效果。尽管粒子群优化算法发展近十年,但无论是
理论分析还是实践应用都尚未成熟,有大量的问题值得研究。
-Particle swarm optimization (Particle Swarm Optimization, PSO algorithm) from groups of birds and fish movement behavior, is a new swarm intelligence algorithm, in the field of evolutionary computation is a new branch. Its main feature is simple in principle, few parameters, convergence is faster, less domain knowledge required. The algorithm brought the scholars are of great concern, has been in function optimization, neural network training, combinatorial optimization, robot path planning has been widely used applications, and achieved good results. Despite the development of particle swarm optimization nearly a decade, but both theory and practice applications are not yet mature, a large number of issues worth studying. Platform: |
Size: 602112 |
Author:赵 |
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Description: 给出了一种新的优化方法,果蝇优化方法。对于搞优化的人是很有帮助的-A new optimization methods, the Drosophila optimization method. Is helpful to engage in optimization Platform: |
Size: 113664 |
Author:何傻子 |
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Description: 包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略,一种2000年左右发展起来的新优化算法,简称CMA-ES,最近十几年得到了学术界的广泛关注,非常有应用前景。这是一种黑箱子优化算法,可以再程序末自己定义优化函数,也可以调用外部程序(如有限元等)进行计算,然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法,有较好的收敛性,这归功于其严谨的数学表达。-Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression. Platform: |
Size: 630784 |
Author:Weizhu Yang |
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