搜索资源列表
MOPSO-MATLAB
- 多目标粒子群算法是模拟动物群体的社会行为，找到一个最优设计点的过程比作这些生物的觅食活动。换句话说，这些例子在设计空间中寻找最好的位置。-Multi-objective Particle Swarm social behavior is simulated animal groups, a process to find the optimal design point likened foraging activity of these organisms. In other words, t
PSO-MATLAB
- 一个例子的最佳位置和沿着当前速度和惯性方向的邻元素被用来决定下一个例子的位子。多目标粒子群的优化算法简介如下-An example of the best location and along the current speed and direction of inertia neighbors are used to determine the next example of the seat. Introduction to multi-objective optimization alg
code
- Jaya Algorithm Single objective Code
JAYA-CODE
- Jaya Algorithm Single Objective Code
PE_doc_29919
- Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corresponding identification of chance or base case levels of the statistic.
Optimal-Linear-Cooperation-for-Spectrum-Sensing-i
- objective is to minimize the interference to the primary radio while meeting the requirement of opportunistic spectrum utilization.
MOPSO-based-on-adaptive-mutaiton
- 基于自适应变异的对多目标粒子群算法的改进算法-Based on the multi-objective particle swarm algorithm for improved algorithm of adaptive mutation
1-s2.0-S0925231212007722-main
- 不确定环境下的机器人路径规划的多目标粒子群优化算法-Robot path planning in uncertain environment using multi-objective particle swarm optimization
Bushra_MS_17
- REPORT ON MULTI OBJECTIVE OPTIMIZTION
bilateral-filterlte
- In the existing bilateral filtering algorithm, the domain parameters and range parameters need to be predefined. Parameters of a bilateral filter are fixed and cannot guarantee to be optimal. A new adaptive bilateral filtering (ABF) is proposed i
final-document
- The main objective of this research to implement, and analysis of WiMAX model with different modulation and coding schemes, Adaptive Modulation and Coding (AMC) using OPNET network modeler. By expressing the different types of modulation and coding m
ga
- 基于遗传算法的多目标算法优化，包括程序的实现(Multi - objective Algorithm Optimization Based on Genetic Algorithm)
多目标决策优化
- 利用所建立的模型。实现了多目标的决策优化。(Using the established model. The multi-objective decision optimization is realized.)
MM1_Tutorial1
- MM1_Tutorial Objective This laboratory is important for understanding OPNET system and user interface. The lab contains a step-by-step example that shows how to use OPNET to construct an M/M/1 queue design and analysis. Overview The task i
华侨大学XFX函数优化平台2017版
- 该2017版软件集成了竞赛争冠系列算法（含单目标寻优、多峰函数寻优、参数估计（拟合）等）和多种差分向量型式的差分进化算法。可对数学函数进行有或无约束优化、多峰函数优化等工作。其中改进竞赛争冠算法是近期本人的研究佳作。与现行优良的进化算法相比，颇具竞争力。(The 2017 version of the software integrates the series of race champion algorithm (including single objective optimization
超多目标优化问题的几种进化算法研究_过晓芳
- 论文提出了新的观点，内容详细，可以对超多目标优化的同学提供好的研究思路(This paper puts forward new ideas and details, which can provide good research ideas for students with super multi objective optimization.)
multi-objective power flow optimization
- 构建了含VSC-HVDC的交直流系统多目标最优潮流模型；针对此模型连续变量和离散变量共存的特点，提出了内点法和NSGA2算法相结合的交替求解算法，可获得多个Pareto最优解，并具有较高的计算效率(Considering the coexistence of continuous and discrete variables in this model,an alternative solution method based on the interior point method and NS
煤矿节能减排多目标优化研究
- 针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the obje
Python3-廖雪峰
- Python 教程 这是小白的 Python 新手教程，具有如下特点： 中文，免费，零起点，完整示例，基于最新的 Python 3 版本 关于作者 廖雪峰，十年软件开发经验，业余产品经理，精通 Java/Python/Ruby/Scheme/Objective C 等，对开源框架有深入研究，著有 《Spring 2.0 核心技术与最佳实践》一书，多个业余开源项目托管在 GitHub，
c#开发Android应用实战
- c#开发Android应用实战,随着跨平台工具的不断发展，它们往往采用下面所介绍的两种方法之一来帮助开发人 员编写应用程序。第一种方法是利用移动设备对Web浏览的固有支持，而第二种方法是开 发将诸如C#或Javascr ipt 之类的通用语言翻译(或编译)为诸如Java for Android/Dalvik或 Objective-C for iOS 之类的本机语言的手段。