搜索资源列表
BP
- 基于BP神经网络算法的研究，主要比较了模拟退火算法、遗传算法、P神经网络的区别，提出了一种比较优化的BP算法-the research for BP
CS_Based_PR_CW_Radar
- 基于压缩感知的伪随机多相码连续波雷达，为了提高目标信息提取的有效性，采用模拟退火算法对波形进行优化。仿真结果表明了该方法的优越性。-To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm.Simulation results demonstrate the merits of the prop
10.1.1.87.9872
- 用于函数优化的快速模拟退火算法，非常实用-Fast simulated annealing algorithm for function optimization, very useful
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
scheduling-in-flow-shop
- 本文将局部优化与模拟退火算法结合解决了置换流水车间的订单接收和调度问题。本文给出了数学模型，局部优化策略，邻域搜索的3个操作(Swap, Insert, Reverse)，并给出了相应的调度和计算收益的程序。 -Permutation flow shop scheduling with order acceptance and weighted tardiness.
nice
- 除了蚁群算法，可用于PID参数优化的智能算法还有很多，比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法，等等。-In addition to the ant colony algorithm, can be used to optimize the PID parameters, there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle
pfcim
- 基于混沌的模拟退火算法，计算时间和二维直方图,LCMV优化设计阵列处理信号。( Chaos-based simulated annealing algorithm, Computing time and two-dimensional histogram, LCMV optimization design array signal processing.)