资源列表
with-Calibrate-
- 电脑鼠连续转弯程序，能跑完全程，帮助你取得好成绩。-Computer mouse for turning the program to be able to run the entire distance, to help you to get good grades.
Cooperations-in-PSO
- We de ne ve cooperation mechanisms in Particle Swarm Optimisation, loosely inspired by some models occurring in nature, and based on two quan- tities: a help matrix, and a reputation vector. We call these ve mechanisms, respectively, Reciproc
Cooperations_in_PSO_C
- 协同微粒群算法，期中举例了几种微粒群社会学习模型，We call these ve mechanisms, respectively, Reciprocity, Vicinity, Kin, Reputation, and Anybody.-Example several particle swarm cooperative particle swarm optimization, mid-term social learning model, We call these ve mecha
Nqueen-(2)
- 三百万皇后在一分钟内生成并算出最优解。随机爬山算法。速记生成初始状态。-Three million Queen generate and calculate the optimal solution in a minute. Random hiking algorithm. The shorthand generated initial state.
PSO-matlab
- 人工智能算法，粒子群算法matlab详解代码，适用于各种寻优-Artificial intelligence algorithms, PSO Detailed matlab code, suitable for a variety of optimization.
tsp-matlab
- tsp的matlab神经网络求解，可以用的，还不错-tsp matlab neural network to solve, you can use, but also good
Opposition-based-Stud-Genet
- 为进一步提高螺栓遗传算法的优化效率，加速寻优过程，提出基于对立策略的螺栓遗传算法。该算法在种群初始化阶段和变异阶段均用对立取代随机方式，提高产生解的质量。利用测试函数对算法的效率进行检验，将其与差分算法、遗传算法、粒子群算法和螺栓遗传算法进行对比，结果表明，新算法具有更快的收敛速度和更高的求解精度。-In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence s
Ant-Colony-Algorithm-Based
- 提出一种基于启发式变异的蚁群算法，结合传统蚁群算法和遗传变异算法的优点，利用蚁群算法找到一条全局近优解，采用启发式变异进行路径优化，并将优化信息以信息素的方式传递给下一代，从而快速得到全局最优解-】This paper proposes an Ant Colony Algorithm based on Heuristic Mutation(ACAHM), combining with the advantage of the traditionalAnt Colony Algorithm(ACA
A-Modified-Artificial-Fish
- 本文采用了自适应调制参数的方式对算法进行了改进，并用6个测试函数，结果表明，改进后的算法效果优异-In this paper, an adaptive AFSA algorithm is presented by adjusting the parameter automatically in basic AFSA. Six benchmark functions are used to check the performance of the new method. It shows th
Niche-artificial-fish-swarm-alg
- 提出了一种基于生境人工鱼群算法的多峰问题优化算法．该算法融合了模拟退火、小生境技术的思想，并加入了变异算子和自动生成合适小生境半径机制-Since it is difficult to find all the optima when artificial fish SWalTn algorithm(AFSA)is used in multimodal optimization．a niche artificial fish swalTn algorithm(NAFSA)based on b
Development-on-ant-colony-algorithm
- ．针对蚁群算法，首先介绍其基本原理；然后讨论了近年来对蚁群算法的若干改进以及在许多新领域中的发展应用；最后评述了蚁群算法未来的研究方向和主要研究内容．-Firstly，the basic principle of ant colony algorithm is introduced．Then．a series of schemes on improving the ant colony algorithm are discussed，and the new applications are
Research-on-Some-Novel-Bionic-Opt
- ：仿生优化算法是模拟自然界中生物行为的随机搜索算法，可以用来解决现实中的许多优化问题。简要介绍了目前比 较流行的四种新型仿生优化算法(蚁群算法、微粒群算法、人工免疫算法以及人工鱼群算法)的基本原理；然后深入分析了这 些仿生优化算法的异同之处-Bionic optimization algorithms aye stochastic search methods that mimic the natural biological behavior of species．They age