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[Bio-Recognizeblastz.040127.tar

Description: 一个类似于blast算法的基因数据快速搜索算法-an algorithm similar to the blast of genetic data Fast Search Algorithm
Platform: | Size: 91136 | Author: 董骝焕 | Hits:

[AI-NN-PRsimpleCS

Description: Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg -Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
Platform: | Size: 27648 | Author: zjw | Hits:

[AI-NN-PRyichuansuanfacankao

Description: 遗传算法(Genetic Algorithm, GA)是近几年发展起来的一种崭新的全局优化算法,它借 用了生物遗传学的观点,通过自然选择、遗传、变异等作用机制,实现各个个体的适应性 的提高。这一点体现了自然界中"物竞天择、适者生存"进化过程。1962年Holland教授首次 提出了GA算法的思想,从而吸引了大批的研究者,迅速推广到优化、搜索、机器学习等方 面,并奠定了坚实的理论基础。 用遗传算法解决问题时,首先要对待解决问题的模型结构 和参数进行编码,一般用字符串表示,这个过程就将问题符号化、离散化了。也有在连续 空间定义的GA(Genetic Algorithm in Continuous Space, GACS),暂不讨论。-genetic algorithm (Genetic Algorithm. GA) is developed in recent years a new global optimization algorithm, it borrows from the biological point of view of genetics, through natural selection, genetic variation, such as mechanisms to achieve the adaptability of various individuals raised. This is reflected in the natural world, "the process of natural selection and survival of the fittest" evolutionary process. In 1962, Professor Holland first proposed the idea of the algorithm, thereby attracting a large number of researchers, to promote rapid optimization, search, machine learning, and to lay a solid foundation in theory. Using genetic algorithms to solve the problem, we must first solve the problem of the treatment of the model structure and coding parameters, general string,
Platform: | Size: 409600 | Author: 冯灿科 | Hits:

[AI-NN-PRmathmodel

Description: 这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法:模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法)-This a good model to study the information, download it quickly, mathematical modeling algorithm 10 (includes : Monte Carlo algorithm, data fitting, parameter estimation, interpolation of data-processing algorithms, linear programming, integer programming, diversity planning, Quadratic Programming category of zoning, graph-theoretical algorithms, dynamic programming, retroactive search, the partition algorithm, branch-and-bound algorithm computer, most optimization theory of the three non-classical algorithm : simulated annealing, neural networks, genetic algorithms, mesh algorithms and exhaustive, some consecutive discrete method, numerical analysis algorithms, image processing algorithm)
Platform: | Size: 5928960 | Author: zhxj | Hits:

[AI-NN-PRznyh

Description: 〈智能优化算法与应用〉介绍各种优化算法:模拟褪火法、遗传算法、禁忌搜索法、神经网络法、混合优化策略等内容。-"intelligent optimization algorithms and application" on the various optimization algorithms : simulated fire faded, genetic algorithm, Tabu search method, neural networks, hybrid optimization strategy content.
Platform: | Size: 11055104 | Author: small www | Hits:

[AI-NN-PRupdatesimplexmethod

Description: 单纯形法是一种不错的随机搜索算法,但是其受初始值的选取,步长大小的影响较大,容易陷入局部收敛。程序中列出了基本单纯形法,和几种改进的单纯形法,包括变步长的单纯形法,单纯形加遗传算法等。-simplex method is a good random search algorithm, but its initial value by the selection, step in a larger size, easy to be trapped into local convergence. Procedures set out the basic simplex method, and several improved simplex method, including variable step of the simplex method. Simplex increase genetic algorithm.
Platform: | Size: 59392 | Author: xcq | Hits:

[OtherGATSJH

Description: 遗传算法和禁忌搜索相结合的方法,并有应用例子-Genetic Algorithm and Tabu Search combination of methods, and application examples
Platform: | Size: 456704 | Author: yfq | Hits:

[AI-NN-PRTravelingSalesmanProblemwithGeneticAlgorithm

Description: this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once) Notes: 1. Input error checking included 2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter , value -this m file can Find a (near) optimal solution to the Traveling Salesman Problem (TSP) by setting up a Genetic Algorithm (GA) to search for the shortest path (least distance needed to travel to each city exactly once) Notes: 1. Input error checking included2. Inputs can be specified in any order, so long as the parameter pairs are specified as a parameter, value
Platform: | Size: 4096 | Author: 宏姬 | Hits:

[AI-NN-PRImprovedSVM

Description: 将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数,利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索,将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.
Platform: | Size: 179200 | Author: zhaoxiufen | Hits:

[matlabOptimizationofaDoubleWishboneSuspensionSystem

Description: This demo shows how to use MATLAB, Optimization Toolbox, and Genetic Algorithm and Direct Search Toolbox to optimize the design of a double wishbone suspension system.
Platform: | Size: 2056192 | Author: 阳关 | Hits:

[AI-NN-PRTSP

Description: 包括蚁群,模拟退火,遗传,神经网络,禁忌搜索等智能优化算法对TSP问题的解决。-Including ant colony, simulated annealing, genetic, neural networks, tabu search, such as intelligent optimization algorithm to TSP problem.
Platform: | Size: 7168 | Author: orange | Hits:

[matlabZDT4

Description: 为了有效地应用遗传算法解决 鲁棒控制系统设计问题,将遗传算法与局部优化方法相结合,提出了基于降维扫描方法的自适应多目标遗传算法(DRSA-MOGA)。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法,提高了算法的全局优化性能和局部搜索能力。仿真结果表明,DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度-For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation
Platform: | Size: 14336 | Author: cekong | Hits:

[AI-NN-PRiga

Description: 应用遗传算法是被认为求解NP难题的有效手段之一,求解物流配送车辆路径优化问题时,在传统遗传算法的基础上,并引入了免疫算法的思想,实验结果表明该算法具有更好的全局和局部搜索能力和收敛速度,可有效地解决物流配送车辆路径优化问题。-Application of genetic algorithms to solve NP is considered an effective means of problem solving to optimize logistics and distribution vehicle routing problem, in the traditional genetic algorithm based on immune algorithm and the introduction of ideas, experimental results show that the algorithm has a better overall and local search ability and convergence speed, which can effectively solve the logistics and distribution VRP.
Platform: | Size: 7168 | Author: 王博文 | Hits:

[AI-NN-PRga_tsp530

Description: 免疫遗传算法用于搜索全局最优解,经验证具有很好的效率和收敛性-Immune genetic algorithm used to search the global optimal solution, experience card has good efficiency and convergence
Platform: | Size: 6144 | Author: slanting | Hits:

[AI-NN-PRgenetic_algorithm

Description: 本包包括模拟退火,禁岂搜索,遗传算法以及神经网络等算法程序,应该有你需要的-This package includes simulated annealing, Ban How search, genetic algorithm and neural network algorithms, such as procedures, should you need to have the
Platform: | Size: 1024 | Author: 王军 | Hits:

[AI-NN-PRmemetic_for_TSP

Description: TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.
Platform: | Size: 102400 | Author: 文龙 | Hits:

[AI-NN-PRyichuansuanfa

Description: 遗传算法,是模拟达尔文的遗传选择和自然淘汰的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法.遗传算法是一类可用于复杂系统优化的具有鲁棒性的搜索算法-Genetic algorithm, is a simulation of Darwinian natural selection to genetic selection and biological evolution of the computing model is a natural evolutionary process by simulating the optimal solution search methods. Is a kind of genetic algorithm can be used for optimization of complex systems is robust The search algorithm
Platform: | Size: 1024 | Author: 曹睿 | Hits:

[matlabGA

Description: 遗传进化算法实现函数优化,寻找函数最大值,matlab编程实现-Genetic evolution algorithm for function optimization, search function, max, matlab programming
Platform: | Size: 3072 | Author: lirong | Hits:

[AI-NN-PRGenetic-Algorithm-and-Direct-Search

Description: 遗传算法matlab工具箱使用方法的pdf文件-Genetic Algorithm and Direct Search Toolbox
Platform: | Size: 3949568 | Author: 王龙 | Hits:

[matlabGENETIC ALGORITHM

Description: 遗传算法(Genetic Algorithm)是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型,是一种通过模拟自然进化过程搜索最优解的方法。(The genetic algorithm (Genetic Algorithm) is a computational model of biological evolution process of natural selection and genetic mechanism of the simulation of Darwin's theory of biological evolution, is a kind of method to search the optimal solution through simulating the process of natural evolution.)
Platform: | Size: 44032 | Author: alfreddiao | Hits:
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