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ex1_3
Particle swarm optimization has been used to solve many optimization problems since it was
proposed by Kennedy and Eberhart in 1995 [4]. After that, they published one book [9] and
several papers on this topic [5][7][13][15], one of which did a study on its performance using
four nonlinear functions adopted as a benchmark by many researchers in this area. In PSO,
each particle moves in the search space with a velocity according to its own previous best
solution and its group’s previous best solution. The dimension of the search space can be any
positive integer.
- 2011-02-14 18:34:03下载
- 积分：1
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TwoDimFFT
2D FFT in matlab. inputs are original data and block size. ex) block size = [8 8]
- 2011-12-21 13:14:28下载
- 积分：1
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BB
对背包问题进行研究 用MATLAB来实现(Knapsack problem using MATLAB to realize)
- 2013-05-15 22:01:14下载
- 积分：1
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dwadw4
说明： 切削力随着磨削深度、速度的增大的趋势，这对于切削过程来说是非常重要的，如果增加相应的参数，就会导致不同的结果(The cutting force increases with the grinding depth and speed, which is very important for the cutting process. If the corresponding parameters are increased, the results will be different)
- 2020-07-13 14:39:53下载
- 积分：1
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matlabxinxigongcheng
matlab信息工程实习 wav语音处理具体操作 滤波器设计(Information Engineering Practice matlab wav voice to address specific operational Filter)
- 2010-06-22 15:36:59下载
- 积分：1
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Rao_eg11_11
these are matlab files in relation to RK4
- 2009-09-24 15:56:59下载
- 积分：1
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BatteryAging
电池全寿命加速老化试验的采集数据。在不同温度下的充电和放电下完成。数据格式为matlab的mat，文件里面有详细的实验数据说明，希望对研究电池寿命预测和诊断的同志有帮助。(Battery life-accelerated aging test data collection. At different temperatures to complete the charging and discharging. The data format is the matlab mat, which has detailed documentation of the experimental data shows that the hope of battery life prediction and diagnosis to help comrades.)
- 2021-03-11 10:59:26下载
- 积分：1
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DFT1
DTF - equation implementation(DTF- equation implementation)
- 2009-12-04 16:20:04下载
- 积分：1
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One-dimensional-cloud-model
一维云模型源代码，用matlab生成，是最基本的函数，图形结果是一个正态函数。(One dimensional cloud model)
- 2013-01-16 09:41:03下载
- 积分：1
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D_star_PathPlanning-master
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)
- 2021-04-17 17:50:13下载
- 积分：1
