搜索资源列表
tsp(2)
- 本程序实现了多城市的tsp问题(即旅行商问题)的遗传算法-the process of multi-city tsp (ie, the traveling salesman problem) Genetic Algorithm
benchmarks_test_pso
- 粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示,粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本,对于初学者可以通过此程序快速的实现入门,以便将更多的精力投入到深层次的研究中去!同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。-PSO algorithm (PSO) standard test function ver
Dynamic_Programming
- 多阶段决策过程( multistep decision process )是指 这样一类特殊的活动过程,过程可以按时间顺序分解成若干个相互联系的阶段,在每一个阶段都需要做出决策,全部过程的决策是一个决策序列。 动态规划 ( dynamic programming )算法 是解决 多阶段决策过程最优化问题 的一种常用方法,难度比较大,技巧性也很强。利用动态规划算法,可以优雅而高效地解决很多贪婪算法或分治算法不能解决的问题。动态规划算法的基本思想是:将待求解的问题分解成若干个相互联系的子问题,先求解
EMRPC
- 路由选择过程的c算法程序 与DSR 只是简单地使用最短路径不同,EMRPC 使用了更复杂的路由选择机制以实现多径路由和能量均衡。-process of routing algorithm c procedures and DSR is simply to use the shortest path different. EMRPC use of a more complex routing mechanisms to achieve multi-path routing and energy
multiuser-detection
- 多用户检测matlab源程序 内有详细的程序说明-multi-user detection Matlab source within a detailed descr iption of the process
gongetidufa
- 多元函数的共扼梯度法VC代码,子过程FRPRMN实现了该方法的过程。-multi-function conjugate gradient method VC code, sub-process FRPRMN realization of the method process.
Agentbasedbilateralalgorithm.
- 双边多议题协商是一个复杂的动态交互过程。解决Agent 在对环境和对方信息不全知的情况下通过协商达成一致并最大化自身效用是非常重要的。 -Bilateral multi-issue consultations is a complex process of dynamic interaction. Solve the Agent in the environment and the other incomplete information to know where to reach agr
GS_CH_PSO1.1_discrete1.0_2007830
- 基于粒子群优化与灰色系统理论的多目标优化程序,很好用-Based on Particle Swarm Optimization and gray system theory of multi-objective optimization process, a very good use
ApplicationofFuzzyNeuralNetworktoDecouplingControl
- 在工业生产过程中,针对纯迟延、时变、强耦合的多输入多输出现象,提出一种 基于模糊神经网络解耦和PID控制相结合,对系统进行解耦控制的方法。这种方法不需要建 立多变量对象精确的数学模型,通过对大迟延大惯性强耦合的循环流化床锅炉床温-主汽压力 对象进行仿真,其结果表明,解耦控制效果很好,具有良好的静态性、动态性及鲁棒性。 -In the industrial production process for a pure delay, time-varying, strong coupl
geneticalgorithmandsimulatedannealingalgorithm
- 建立了多约束条件车辆路径问题的数学模型和求解流程先采用最近插入法生成初始解然后基于遗传算法和模拟退火算法改进初始解-The establishment of a multi-vehicle routing problem with constraint model and solution process first insertion generated by the recent initial solution and based on genetic algorithm and simu
GA_for_clustering
- Genetic algorithms (GAs) have recently been accepted as powerful approaches to solving optimization problems. It is also well-accepted that building block construction (schemata formation and conservation) has a positive influence on GA behavior.
imagefusion-matlab
- 涵盖了多种方法对多源图像进行图像融合的程序-Covers a wide range of multi-source image fusion process
multi
- 利用多线程技术实现快速和冒泡两个排序算法,每个算法一个线程,直观地显示排序算法对输入数据的排序过程。-Using multi-thread technology for fast and bubbling two sorting algorithms, each algorithm is a thread, visual indication of the input data sorting algorithm sorting process.
Multi-level-queue-algorithm
- 采用多级反馈队列调度算法来模拟实现处理机的调度过程,C语言代码,在VC++6.0上调试通过。-Multi-level feedback queue scheduling algorithm to simulate the process of realization of processor scheduling, C language code, debug by VC++6.0.
Multi-Agent-Particle-Swarm-Algorithm
- 结合多智能体的学习、协调策略及粒子群算法,提出了一种基于多智能体粒子群优化的配电网络重构方法。该方法采用粒子群算法的拓扑结构来构建多智能体的体系结构,在多智能体系统中,每一个粒子作为一个智能体,通过与邻域的智能体竞争、合作。能够更快、更精确地收敛到全局最优解。粒子的更新规则减少了算法不可行解的产生,提高了算法效率。实验结果表明,该方法具有很高的搜索效率和寻优性能。-Combining the study of multi-agent technology,coordinating strateg
Multi-machine-scheduling
- 将对n个独立作业如何分配在m台相同的机器加工处理的多机调度问题进行解决,这就是我们要解决的任务。 本程序编写目的为使得解决多机调度问题的过程以图形界面方式动态的展示出来,以让用户能够轻易的看出解决的方案以及过程。采用java开发。 -Will be n independent jobs on m machines how to allocate the same machine processing of multi-machine scheduling problem to solv
cfitcall_mpi_nobasefile
- R语言的多进程字符串查找算法,速度快,准确性高-Multi-process R language string search algorithm
Multi-objective-PSO
- 多目标粒子群算法在工艺参数优化上的运用,程序包含了主程序、时间、能耗程序。-A multi-objective PSO algorithm to solve process parameters optimization problem
Multi-Focus Image Fusion Based on Spatial
- Multi-focus image fusion in wireless visual sensor networks (WVSN) is a process of fusing two or more images to obtain a new one which contains a more accurate descr iption of the scene than any of the individual source images.
生产调度
- 多工序多设备的生产车间调度问题,采用的是精英保留策略的遗传算法(A genetic algorithm based on elite reservation strategy is adopted for multi-process and multi-equipment job shop scheduling problem.)
