搜索资源列表
57843
- 识获取的模糊控制系统的基础上改进的遗传算法和神经网络 -Knowledge Acquisition of Fuzzy Control System Based on Improved Genetic Algorithm and Neural Networks
traveling-salesman-prolem
- In this paper I will discuss a genetic approach to fi nding near-optimal soltu- ions to Traveling Salesman Problems. I will also discuss how using a heuristic to generate an initial pool aff ects the run time and solutions found by my progr
The-Multi-user-Detection-paper
- 提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
Predicting-Housing-Value
- In this paper we show, by means of an example of its application to the problem of house price forecasting, an approach to attribute selection and dependence modelling utilising the Gamma Test (GT), a non-linear analysis algorithm that is describ
simulated-annealing
- 基于模拟退火遗传算法的车辆路径问题研究-Based on simulated annealing genetic algorithm for vehicle routing problem research
Heavy-initial
- 用遗传算法优化神经网络初始权重的方法-Heavy initial weights of neural network method using genetic algorithm optimization
LS-SVM-
- 基于遗传算法的LS-SVM参数优选及其在经济预测中的应用-LS-SVM parameters based on genetic algorithm and its application in economic forecasting based
Satellite-based
- 基于遗传算法的电磁信号采集卫星多星规划-Satellite-based electromagnetic signal acquisition genetic algorithm multi-satellite planning
TSP-MATLAB-CODE
- 用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原-Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best in
rand03.6
- In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role
The-new-meta-heuristic-algorithm-bat
- 摘要：新型元启发式算法例如粒子群算法，萤火虫算法，和声搜索算法已经成为现今复杂的优化问题的有效解决方法。该文基于蝙 蝠的回声定位行为提出了一种新型的元启发式算法———蝙蝠算法，同时也将现有的一些算法的优点引入到该算法中。 改文对该算 法进行了详细的公式化表述并对其执行流程的作出了说明，并且将该算法与遗传算法、粒子群优化算法等算法进行了比较。仿真结 果表明,蝙蝠算法明显优于其他算法，并对进一步的研究作出了展望。-Summary: The new meta-heuristic algor
-Problem
- 一种求解多目标柔性Job Shop调度的改进遗传算法-An improved genetic algorithm for multi-objective Flexible Job Shop Scheduling Problem
Hybrid-strategy-
- 基于遗传算法和内点法的无功优化混合策略-Hybrid strategy based on genetic algorithm optimization and interior point method reactive
-WCSD-
- 基于遗传算法的嵌入式软件 WCSD 检测方法-Embedded Software WCSD detection method based on genetic algorithm
Pursuit-Model
- 多智能体遗传算法投影寻踪建模与实证研究-Projection Pursuit Model and Empirical Research on Genetic Algorithm for Multi-Agent
-DGPS-
- 基于自适应遗传算法的DGPS整周模糊度快速解算-Fast solver based on adaptive genetic algorithm DGPS Ambiguity Resolution
Reactive-improved-
- 基于改进交叉操作的遗传算法无功优化研究-Optimization of Reactive improved genetic algorithm based crossover operation
GPS-Height-
- 基于遗传算法的RBF神经网络在GPS高程拟合中的应用-Genetic Algorithm and RBF Neural Network in GPS Height Fitting Based
Cross-layer-
- 一种基于遗传算法的OFDMA系统的跨层资源分配-Cross-layer resource a genetic algorithm-based allocation of OFDMA system
-imaging-infrared-
- 基于遗传算法的红外成像导引头伺服控制系统设计与仿真-Based on imaging infrared seeker servo control system design and simulation genetic algorithm