蚁群算法的通用程序，ant colony optimization.
上传时间： 2014-01-18
上传用户：jennyzai
非常好的优化算法的书，详细介绍了蚁群算法和粒子群算法以及相关的matlab工具箱，讲了理论和应用给出了工具箱的下载地址。 Swarm intelligence is an innovative computational way to solve hard problems. In particular, particle swarm optimization, also commonly known as PSO, mimics the behavior of a swarm of insects or a school of fish. If one of the particle discovers a good path to food the rest of the swarm will be able to follow instantly even if they are far away in the swarm. Swarm behavior is modeled by particles in multidimensional space that have two characteristics: a position and a velocity. These particles wander around the hyperspace and remember the best position that they have discovered. They communicate good positions to each other and adjust their own position and velocity based on these good positions.
标签： 优化算法
上传时间： 2014-01-26
上传用户：zgu489
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions)
标签： nninit_test GA_Wnn_tes Wnn_test WNN
上传时间： 2016-09-17
上传用户：LIKE
he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
标签： equivalent likelihood algorithm Sejnowski
上传时间： 2016-09-17
上传用户：Altman
采用蚁群算法检测图像边缘 This a demo program of image edge detection using ant colony, based on the paper, "An Ant Colony optimization Algorithm For Image Edge Detection," IEEE Congress on Evolutionary Computation (CEC), pp. 751-756, Hongkong, Jun. 2008.
标签： detection program colony based
上传时间： 2016-09-28
上传用户：cc1
使用C#程式語言開發，並執行於.NET Framework下；是研習「蟻拓尋優法」不可或缺的軟體工具。系統使用ACO (Ant Colony optimization)演算公式模擬螞蟻的覓食行徑抉擇。使用者可以設定費洛蒙和食物氣味強度等相關參數以及動態設定障礙物的位置和形狀，研習螞蟻覓食的最短路徑形成過程。研習各種參數設定對螞蟻覓食行為的影響，了解費落蒙機制對蟻拓尋優化法的影響。本系統可支援柔性計算教學，研習蟻拓優化法中人工螞蟻的隨機搜尋模式和啟發式法則設計原理。
标签： 程式
上传时间： 2013-12-24
上传用户：anng
一篇同学的硕士论文 --OFDMA Ressource Allocation using Multiuser Constant-Power Waterfilling. 关于OFDMA 资源分配的算法 用到凸优化(convex optimization)的理论 证明对多用户的Waterfilling算法可以实现优化原则
标签： OFDMA Constant-Power Waterfilling Allocation
上传时间： 2014-08-22
上传用户：GHF
We propose a technique that allows a person to design a new photograph with substantially less effort. This paper presents a method that generates a composite image when a user types in nouns, such as “boat” and “sand.” The artist can optionally design an intended image by specifying other constraints. Our algorithm formulates the constraints as queries to search an automatically annotated image database. The desired photograph, not a collage, is then synthesized using graph-cut optimization, optionally allowing for further user interaction to edit or choose among alternative generated photos. An implementation of our approach, shown in the associated video, demonstrates our contributions of (1) a method for creating specific images with minimal human effort, and (2) a combined algorithm for automatically building an image library with semantic annotations from any photo collection.
标签： substantially photograph technique propose
上传时间： 2016-11-24
上传用户：三人用菜
协同粒子群的原始文章，南非人所写。a cooperative approach to particel swarm optimization
标签： 粒子群
上传时间： 2014-01-04
上传用户：小眼睛LSL
编译器设计入门 内容 n Introduction n Setting Up the Tutorial n Graphical Interface n The Alarm Clock Design n Setting Design Environment n Setting Design Constraints n Overview of optimization Phases n Analysis of Report
标签： Introduction Graphical Interface Tutorial
上传时间： 2014-01-15
上传用户：hzy5825468
