Search - Roulette Wheel Selection

Search - Roulette Wheel Selection - List

[AI-NN-PR] SimpleGA DL : 0: 该程序为使用了轮盘赌选择方式、单点交叉和基本位变异算子，内嵌精英保留策略的基本遗传算法。其实现使用了固定数组，使用一个常用的测试函数。-The procedure for the use of a roulette wheel selection, single-point crossover and basic bit mutation operator, embedded elite reservation strategy for the basic genetic algorithm. The realization of the use of a fixed array, the use of a commonly used test functions.
Update : 2025-02-17 Size : 3kb Publisher : 东方志柱
[AI-NN-PR] GAforTSP DL : 0: 遗传算法求解TSP问题,采用轮盘赌选择方法,部分匹配交叉算子,交换变异设计.-Genetic Algorithm for TSP problem, using roulette wheel selection method, partially matched crossover operator and exchange mutation design.
Update : 2025-02-17 Size : 5kb Publisher : 底欣
[matlab] select DL : 0: Roulette Wheel Selection
Update : 2025-02-17 Size : 120kb Publisher : tekguc
[matlab] genetic_algorithm_matlab DL : 0: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作-fga.m the main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation
Update : 2025-02-17 Size : 6kb Publisher : 赵彦
[Other systems] AGA DL : 0: 采用了保优的选择遗传算法终止条件的判断是：到达一定的代数。可改进为：相邻若干代的种群平均适应值的变化来判断。若相邻若干代的种群平均适应值为变化或者是变化小于某一阈值，表示算法已经收敛，则退出算法。选择算子：轮盘赌选择；交叉算子：单点交叉,随机选择计算此适应度值，若大于当前最佳适应度值则降低交叉概率，否则不变；变异算子：模板,对于优势个体，除采用低概率变异外，变异位置应采取权值越大，变异概率越小的原则,而对劣势个体则相反.-Paul used the choice of excellent conditions for the termination of genetic algorithm to determine is: a certain algebra. Could be improved as follows: adjacent to the average number of generations of populations to adapt to the changes to determine the value. Adjacent to several generations if the population average fitness for the change or changes in less than a threshold, that the algorithm has been convergence, then from the algorithm. Selection operator: roulette wheel selection crossover: single-point crossover, randomly selected to calculate the fitness value, if greater than the current best fitness value to reduce the probability of crossover, otherwise remain unchanged mutation operator: the template for advantage of the individual, with the exception of the use of low-probability variation, the variation of the location of the greater weight should be taken, the smaller the mutation probability principle, and that the opposite is true for the inferior individual.
Update : 2025-02-17 Size : 6kb Publisher : 棋子
[AI-NN-PR] ga1 DL : 0: 遗传算法程序说明: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-Description of the procedures for genetic algorithms: fga.m main program for the genetic algorithm using binary Gray encoding, roulette wheel based on the law of non-linear ranking selection, uniform crossover and mutation operations, but also the introduction of the inversion operation!
Update : 2025-02-17 Size : 3kb Publisher : hexing
[Other] genetic DL : 0: This program runs a GA. The roulette wheel method for parent selection is used here. Elitism is included. Parent selection is from the population including the elite chromosomes. The standard bit form is used here. As usual, code works in terms of fitness values (higher better) results, however, are reported for the loss values of actual interest. This code does not work with constraints on theta values other than those directly associated with thetamax and thetamin. -This program runs a GA. The roulette wheel method for parent selection is used here. Elitism is included. Parent selection is from the population including the elite chromosomes. The standard bit form is used here. As usual, code works in terms of fitness values (higher better) results, however, are reported for the loss values of actual interest. This code does not work with constraints on theta values other than those directly associated with thetamax and thetamin.
Update : 2025-02-17 Size : 11kb Publisher : siva
[AI-NN-PR] yichuansuanfa DL : 0: fga.m 为遗传算法的主程序采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作!-fga.m the main program for the genetic algorithm binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but also introduces the inversion operation!
Update : 2025-02-17 Size : 8kb Publisher : 曾建
[matlab] RealGA(TwoVaribles) DL : 0: 此代码是实数编码遗传算法的Matlab例程。用了精英保留策略选择和轮盘赌选择法，叉操作采用中间重组方式。-This code is a real-coded genetic algorithm Matlab routines. Retention policies with the elite selection and roulette wheel selection method, fork operation mode using the middle of restructuring.
Update : 2025-02-17 Size : 2kb Publisher : 王巍
[matlab] Ga DL : 0: 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,而且还引入了倒位操作. -Binary Gray encoding, roulette wheel method based on non-linear ranking selection, uniform crossover and mutation operations, but also introduces the inversion operation.
Update : 2025-02-17 Size : 3kb Publisher : lq
[AI-NN-PR] Ga DL : 0: 遗传算法求解TSP问题源代码，简单明了，采用轮盘赌进行遗传选择-TSP problem genetic algorithm source code is simple, using the genetic roulette wheel selection
Update : 2025-02-17 Size : 1kb Publisher : fan
[AI-NN-PR] SimpleGA_1 DL : 0: 实现简单的进化算法，实数编码，轮盘赌选择方式，单点交叉，均匀变异。-Simple evolutionary algorithms, real coding, roulette wheel selection method, single-point crossover, uniform mutation.
Update : 2025-02-17 Size : 5kb Publisher : cxx
[matlab] Roulettewheelselection DL : 0: 两种赌轮算法比较，内容清晰，可直接在matlab上运行-Roulette wheel selection
Update : 2025-02-17 Size : 4kb Publisher : jifengzhu
[AI-NN-PR] GA DL : 0: 遗传算法求函数最值问题 matlab代码使用轮盘赌选择交叉变异-Genetic algorithm for function most value problem matlab code crossover and mutation using the roulette wheel selection
Update : 2025-02-17 Size : 1kb Publisher : 小新
[matlab] Binary-GA DL : 0: binary genetic algorithm and all its functions such as cross over, mutation, roulette wheel selection and tournament selection included
Update : 2025-02-17 Size : 3kb Publisher : kamal
[Other] GA1 DL : 0: 遗传算法编码解码采用二进制编解码交叉变异选择操作采用轮盘赌 -genetic algorithm The binary coding and decoding decoding Crossover Mutation The roulette wheel selection operation
Update : 2025-02-17 Size : 3kb Publisher : 王阳洋
[matlab] zuiyoubaoliu DL : 0: 遗传算法最优保留轮盘赌选择、单点交叉、位点变异绘制最优适应度进化曲线-Genetic algorithm for optimal retention roulette wheel selection, single point crossover Loci draw optimal fitness evolution curve
Update : 2025-02-17 Size : 1kb Publisher : 王佳
[Software Engineering] TSP-MATLAB-CODE DL : 0: 用改进遗传算法求解TSP问题,并编制了完整的Matlab程序予以仿真实现.程序中选择算子采用最佳个体保存与赌轮选择相结合的策略,最后分析了最佳个体保存比例对寻优效果的影响. 更多还原-Improved genetic algorithm for TSP, and the preparation of a complete Matlab simulation program to be achieved. Program, select the operator uses the best individual preservation and roulette wheel selection strategy of combining, the final analysis of the optimal ratio of individual saving optimization results impact. more reduction
Update : 2025-02-17 Size : 159kb Publisher : 王斌
[Editor] Real-Coded-GA DL : 0: GA algorithm for optimization with all Roulette Wheel Selection and.... with this algorithm you can optimize any function you want to minimize or maximize . just you need to make your function then add it name in this script.
Update : 2025-02-17 Size : 2kb Publisher : amin
[AI-NN-PR] RouletteWheelSelection DL : 0: GA 算法中一种选中算法selection(Based on Roulette wheel selection input is an array of any real number values)
Update : 2025-02-17 Size : 1kb Publisher : 恋雨梦阳

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