Location:
Search - evolutionary
Search list
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。遗传算法是从代表问题可能潜在的解集的一个种群（population）开始的，而一个种群则由经过基因（gene）编码的一定数目的个体(individual)组成。每个个体实际上是染色体(chromosome)带有特征的实体。染色体作为遗传物质的主要载体，即多个基因的集合，其内部表现（即基因型）是某种基因组合，它决定了个体的形状的外部表现，如黑头发的特征是由染色体中控制这一特征的某种基因组合决定的。(The genetic algorithm (Genetic Algorithm) is a computational model of the evolutionary process of the natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method to search the optimal solution by simulating the natural evolution process. A genetic algorithm begins with a population (population) that represents the possible potential solution of a problem, and a population consists of a certain number of individuals (individual) encoded by the gene (gene). Each individual is actually an entity with a characteristic chromosome (chromosome). The chromosome is the main carrier of genetic material, the collection of multiple genes, and its internal representation (genotypes) is a combination of genes that determine the external manifestations of the individual shape, such as black hair, which is determined by a certain combination of genes that control this characteristic in the chromosome.)
Platform: |
Size: 22528 |
Author: 那拍拍 |
Hits:
Description: 蚁群算法是一种用来寻找优化路径的概率型算法。它由Marco Dorigo于1992年在他的博士论文中提出，其灵感来源于蚂蚁在寻找食物过程中发现路径的行为。
这种算法具有分布计算、信息正反馈和启发式搜索的特征，本质上是进化算法中的一种启发式全局优化算法。蚁群算法的matlab实现(Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dorigo in his doctoral dissertation in 1992, which is inspired by the behavior of ants in finding food in the process of finding food.
This algorithm has the characteristics of distributed computing, positive feedback and heuristic search. In essence, it is a heuristic global optimization algorithm in evolutionary algorithm. Matlab implementation of ant colony algorithm)
Platform: |
Size: 8192 |
Author: 那拍拍 |
Hits:
Description: 演化博弈动态复制仿真，用于演化博弈一方多策略博弈，或两方两策略博弈(simulation of evolutionary game)
Platform: |
Size: 3106816 |
Author: xuliting |
Hits:
Description: DE算法作为一种新的进化算法被广泛关注，它的改进算法层出不穷，但最经典的莫过于JADE(DE algorithm has been widely concerned as a new evolutionary algorithm. Its improved algorithms emerge in an endless stream, but the most classic is JADE.)
Platform: |
Size: 2048 |
Author: 1qaz1qaz1 |
Hits:
Description: 基于python语言下的典型进化策略算法实现代码(Evolutionary strategy algorithm implementation python code)
Platform: |
Size: 64512 |
Author: caiyunffx |
Hits:
Description: 改进的头脑风暴算法（MBSO）用于特征选择，MBSO方法文章来源：Zhan, Zhi Hui, et al. "A modified brain storm optimization." Evolutionary Computation IEEE, 2012:1-8.(Improved brainstorming algorithm for feature selection, MBSO method source: Zhan, Zhi Hui, et al. "A modified brain storm optimization." Evolutionary Computation IEEE, 2012:1-8.)
Platform: |
Size: 6144 |
Author: 学森 |
Hits:
Description: 粒子群优化算起源于对鸟群、鱼群以及对某些社会行为的模拟，是一种基于群体智能的进化计算技术。而小生境技术则起源于遗传算法，这种方法能使基于群体的随机优化算法形成物种，从而使相应的优化算法具有发现多个最优解的能力。而多分类器集成技术则是通过多个分类器进行某种组合来决定最终的分类，以取得比单个分类器更好的性能。多分类器集成技术要求基元分类器不仅个体性能要好并且其差异度要大，这与小生境技术形成物种的能力具有很多内在的相似性。目前己经有研究者将小生境技术应用于多分类器集成，但由于传统的小生境技术仍然不完善，存在一些内在的陷，因而这些应用还不成熟和完善。
(Particle swarm optimization (partieleSwarmOptimization) originated in the birds, fish, and of a
Some simulation of social behavior, is a swarm intelligence-based evolutionary computing. The origin of the niche technology is In genetic algorithms, this method can make random optimization algorithm based on the formation of groups of species, so that the appropriate priority
Algorithm has the ability to find multiple optimal solutions. The integration technology of multiple classifiers is through multiple classifiers into
Some combination of the line to determine the final classification, in order to obtain better than a single classifier performance. Integration of multiple classifiers
Technical requirements for primitive classification is not only better individual performance and the difference to a large degree, which form a niche technology The ability of species has many inherent similarities. The researchers will now have a niche technology used in multisection
Class ens)
Platform: |
Size: 5953536 |
Author: dreamer |
Hits:
Description: the harmony search is an evolutionary algorithm.The file consists of a standard harmony search. The code is simple and usable for optimizing any function.
Platform: |
Size: 1024 |
Author: negahban |
Hits:
Description: arallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life
Platform: |
Size: 2048 |
Author: mojtaba |
Hits:
Description: 基于分解的多目标进化优化算法，在2007年提出的，是另外一种求解多目标优化问题流行的算法。常用(The decomposition-based multi-objective evolutionary optimization algorithm, proposed in 2007, is another popular algorithm for solving multi-objective optimization problems.The commonly used)
Platform: |
Size: 140288 |
Author: yangcuie |
Hits:
Description: 基于演化博弈的模拟仿真，特别是对于双方博弈过程中的演化趋势进行分析(Simulation based on evolutionary game)
Platform: |
Size: 11264 |
Author: duyanchao1987 |
Hits:
Description: 基于分解的多目标进化算法的MATLAB程序，可以使用并运行出结果(MATLAB program based on decomposition of multi-objective evolutionary algorithm can be used and run the results.)
Platform: |
Size: 457728 |
Author: lqqqqqiii |
Hits:
Description: 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。(Particle Swarm Optimization, also known as Particle Swarm Optimization or Particle Swarm Optimization, abbreviated as PSO, is a new evolutionary algorithm developed by J. Kennedy and RC Eberhart in recent years (Evolutionary Algorithm - EA). ). The PSO algorithm is a kind of evolutionary algorithm. It is similar to the simulated annealing algorithm. It also starts from the random solution and finds the optimal solution through iteration. It also evaluates the quality of the solution by fitness, but it is simpler than the rules of genetic algorithm. It does not have the "crossover" and "mutation" operations of the genetic algorithm, which seeks global optimality by following the current searched optimal values. This kind of algorithm has attracted the attention of academic circles because of its advantages of easy implementation, high precision and fast convergence)
Platform: |
Size: 5120 |
Author: 李彤tongtong |
Hits:
Description: 多目标优化算法，首先运用切比雪夫算法分解，然后通过进化算法求解(The multi-objective optimization algorithm,which first solved by Chebyshev algorithm and then solved by evolutionary algorithm.)
Platform: |
Size: 1515520 |
Author: panyu824 |
Hits:
Description: 该算法利用演化博弈的思想进行多小区用户的资源分配，将小区重叠部分当做种群，种群中的用户进行演化博弈进行网络切换，基站为其分配子信道。本算法利用matlab进行仿真测试，仿真结果显示演化博弈能够达到稳定，提升系统吞吐量，在小区资源分配能够有一个很好的参考。不同于传统的资源分配方法，可以给出一个新思路(The algorithm uses the idea of evolutionary game to allocate resources for multi-cell users. The overlapping part of the cell is regarded as a population. The users in the population are handed over by evolutionary game, and the base station allocates subchannels to them. The algorithm is tested by matlab. The simulation results show that the evolutionary game can achieve stability, improve system throughput, and have a good reference for resource allocation in the cell. Different from the traditional method of resource allocation, a new idea can be given.)
Platform: |
Size: 5120 |
Author: 舌战群儒 |
Hits:
Description: 选取政府、配送企业、用户为城市货运过程中的博弈参与主体，为了分析在城市货运政策推广过程中影响各参与主体策略选择的因素，提出了构建政府、配送企业、用户三者之间的演化博弈模型。在分析博弈三方不同策略的成本和收益基础上，采用系统动力学方法对模型进行仿真分析。(The government, distribution enterprises and users are selected as the participants of the game in the process of urban freight transportation. In order to analyze the factors affecting the participants'strategy selection in the process of promoting the urban freight transport policy, an evolutionary game model among the government, distribution enterprises and users is proposed. Based on the analysis of the cost and benefit of three different strategies, the system dynamics method is used to simulate and analyze the model. The results show that the government, distribution enterprises and users all attach importance to the revenue of the strategy when choosing the strategy;)
Platform: |
Size: 376832 |
Author: 雨中尘 |
Hits:
Description: 多种智能算法matlab源程序，即有一些常用的算法，也有一些新颖的算法，用于求解优化问题。包括PSO（粒子群优化算法）,GA（遗传算法）,DE（差分进化算法）,GWO（灰狼优化算法）,FA（萤火虫优化算法）,IWD算法,MBO（帝王蝶优化算法）,SBO（序列最小优化）,SOS（共生生物搜索算法）,WEO算法,BBKH算法,BBBC算法
Platform: |
Size: 41143 |
Author: ellen5111@126.com |
Hits:
Description: PSO的改进版本->CSO，用临近点相比较实现进化，不适用局部最优点，避免了PSO的过早熟问题。(The evolutionary version of PSO->CSO replaces the local optimum with adjacent optimality, avoiding PSO premature.)
Platform: |
Size: 3709952 |
Author: 红尘学家 |
Hits:
Description: 遗传算法，模拟达尔文进化论的自然选择和遗产学机理的生物进化构成的计算模型，一种不断选择优良个体的算法。谈到遗传，想想自然界动物遗传是怎么来的，自然主要过程包括染色体的选择，交叉，变异（不明白这个的可以去看看生物学），这些操作后，保证了以后的个基本上是最优的，那么以后再继续这样下去，就可以一直最优了。利用遗传算法，实现三维点云的配准。(Genetic algorithm, a computational model that simulates the biological evolution of Darwin's evolutionary theory of natural selection and inheritance mechanism, is an algorithm that continuously chooses good individuals. When it comes to inheritance, think about how animal inheritance comes from in nature. The main natural processes include chromosome selection, crossover, mutation (if you don't understand this, you can look at biology). These operations ensure that the next one is basically optimal, and then continue to do so in the future, you can always be optimal.)
Platform: |
Size: 2190336 |
Author: 秋水不染成 |
Hits:
Description: 一种改进的适用于高维的进化算法，采用参考点等方法。(evolutionary algorithm)
Platform: |
Size: 12288 |
Author: 伊之甸 |
Hits:
«
1
2
...
45
46
47
48
49
50»