搜索资源列表
CDAPSO
- 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : Community-based dynamic allocat
improving_the_performance_of_pso_using_adaptive_de
- Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration c
CHAPTER5
- 遗传算法是一种模拟生物进化机制的随机全局优化搜索方法，具有很强的全局优化能力及鲁棒性。遗传算法属于直接搜索法，对适应函数基本无限制，既不要求连续，也不要求函数可微，而且不需要初始信息可以寻求全局最优解克服了单纯形算法初始条件影响大，易陷入局部最小等缺点，操作方便，速度快，不需要复杂的规则，且可用于多目标寻优，在解空间进行高效启发式搜索，可以提高运算速度。-The genetic algorithm is one simulation organic evolution mechanism sto
EvolutionaryAlgorithmsforSolvingMulti-ObjectivePro
- 《Evolutionary Algorithms for Solving Multi-Objective Problems》这是一本有关多目标进化的非常值得一看的书，里面有测试标准，测试函数等内容-The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, e
JavaGenes.0.7.28.tar
- JavaGenes is an evolutionary software system written in Java. It implements the genetic algorithm, simulated annealing, stochastic hill climbing and other search techniques.-JavaGenes is an evolutionary software system written in Java. It implements
webinar_files
- This a demonstration of how to find a minimum of a non-smooth objective function using the Genetic Algorithm (GA) function in the Genetic Algorithm and Direct Search Toolbox. Traditional derivative-based optimization methods, like those foun
fire
- 模拟退火算法是基于蒙特卡罗迭代求解法的一种启发式随机搜索过程。本文给出了该算法的详细介绍和伪代码。-Monte-Carlo simulated annealing algorithm is based on a heuristic iterative method for solving stochastic search process. This paper gives a detailed descr iption of the algorithm and pseudo code.
GAbit_roulette
- Introduction to Stochastic Search and Optimization
GAreal_tourney
- ntroduction to Stochastic Search and Optimization, 2003 This program runs a GA with real-number coding. Elitism is used and the mutation operator is simply the addition of a Gaussian random vector to the non-elite elements. The user
PSO
- Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated annealing solvers. You can u
Numerical-algorithm-and-the-real
- 数值算法与实现是计算机科学与技术专业和软件工程专业的选修课，主要以数值方法为对象，介绍相关数值方法的程序实现技术，包括计算搜索算法、插值逼近方法、随机计算方法和自适应计算方法。-Numerical algorithm and implementation is computer science and technology professionals and software engineering specialty elective, mainly with numerical method
PSO_CPP
- 微粒群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。微粒群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。-Particle Swarm Optimization (PSO) is a population based stochastic optimization technique by Eberhart and Kennedy ma
genetic-based-random-optial-search
- 基于遗传算法的随机优化搜索 ppt 讲解-genetic algorithm based stochastic optimization search
DEcshp(1)
- Differential evolution (DE) is an efficient and powerful population-based stochastic search technique for solving optimization problems over continuous space, which has been widely applied in many scientific and engineering fields. However, the succe
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
09_Genetic_Algorithms
- Genetic algorithms are stochastic search methods managing a population of simultaneous search positions
randsrchABC
- Direct Methods for Stochastic Search in matlab
ga
- 遗传算法是一种借鉴生物界自然选择和自然遗传机制的随机搜索算法。它简单、鲁棒性好，具有自组织 性、自适应性、自学习性，其本质是一种高效、并行、全局搜索的方法，它能在搜索过程中自动获取和积累有 关搜索空间的知识，并自适应地控制搜索过程以求得最优解， -Genetic algorithm is a stochastic search algorithm which is based on natural selection and natural genetic mechanism. It
stochastic-gradient
- Stochastic Gradient search
随机搜索与最优化导论（英文版－James C.Spall）
- Intraoduction to stochastic search and optimization