moran

matlab从入门到精通第6章书后源码对初学者很有帮助(matlab)

GPS和INS组合导航程序，基于混沌的模拟退火算法，进行逐步线性回归。( GPS and INS navigation program, Chaos-based simulated annealing algorithm, Stepwise linear regression.)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

基于matlab实现的循环谱估计算法，可以对具有循环平稳特点的信号进行参数估计，如直扩信号和周期调制信号 (Matlab-based spectral estimation algorithm to achieve the cycle, can be characterized with cyclostationary signal parameter estimation, such as the DS signal and cycle modulation)

线性调频脉冲压缩过程中所有仿真结果和代码(Chirp compression process simulation and code all)

medicin image signal

说明：  这是一个基于MATLAB平台的模糊聚类算法源代码，请下载(This is a platform based on the fuzzy clustering algorithm MATLAB source code, download)

use estimate maximization to calculate maximization of equation

对在实际应用利用的IS-95filter进行性能分析，而用matlab进行仿真。(About real IS-95filter does analisys.)

matlab实现机器生产排序问题最优解 (matlab machine production scheduling problem to achieve the optimal solution )