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【matlab】 GAPSO DL : 1: 基于遗传交叉算法的改进的混沌粒子群优化算法，收敛速度快，精度高-The improved chaotic particle swarm optimization algorithm based on genetic crossover algorithm has high convergence speed and high precision
Update : 2024-05-18 Size : 1024 Publisher : 李铎
【OS program】 fwdlabexperiments DL : 0: NETWORKING LAB PROGRAMS In this paper, we use a wireless sensor network with 100 unknown nodes, which are randomly produced and uniformly distributed in a square region of 5R*5R. Assuming that all nodes are located in the first quadrant, the location of nodes is represented by a two-dimensional coordinates, simultaneously stands for the absolute position, and all nodes are in a quiescent state after deployment. In the algorithm PGA, it supposes population size equals 50 and crossover probability pc=0.8, mutation probability pm=0.01, the number of iterations Iter=100 The RCDE algorithm parameters are set as the same to PGA outside of scaling factor F=0.8. In order to facilitate comparison, the parameters of GAL algorithm are completely equated to that of PGA algorithm.-NETWORKING LAB PROGRAMS In this paper, we use a wireless sensor network with 100 unknown nodes, which are randomly produced and uniformly distributed in a square region of 5R*5R. Assuming that all nodes are located in the first quadrant, the location of nodes is represented by a two-dimensional coordinates, simultaneously stands for the absolute position, and all nodes are in a quiescent state after deployment. In the algorithm PGA, it supposes population size equals 50 and crossover probability pc=0.8, mutation probability pm=0.01, the number of iterations Iter=100 The RCDE algorithm parameters are set as the same to PGA outside of scaling factor F=0.8. In order to facilitate comparison, the parameters of GAL algorithm are completely equated to that of PGA algorithm.
Update : 2024-05-18 Size : 58368 Publisher : ria
【assembly language】 GASEIS3 DL : 0: 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，-GA MATLB program, there are genetic algorithm selection, crossover and mutation functions, some simple examples MABTLAB genetic algorithm!
Update : 2024-05-18 Size : 10240 Publisher : ZHQ
【CSharp】 GA_TSP DL : 0: 基于遗传算法的TSP问题实现，实例有30个城市的距离路径数据，采取两种交叉算子实现。-Based on genetic algorithm for the realization of TSP, examples of 30 cities in the distance path data, using two kinds of crossover operator.
Update : 2024-05-18 Size : 4286464 Publisher : 冯木木
【Software Engineering】 New-Microsoft-Office-Word-Document-(2)_2 DL : 0: search based software testing using genetic algorithm some review about crossover and selection techniques
Update : 2024-05-18 Size : 704512 Publisher : salsabylsalsa
【Picture Viewer】 mutatdol-the-PSO DL : 0: PSO和GA的结合算法,对PSO中效果较差的粒子进行交叉和变异操作,-The combination of PSO and GA algorithm, poor effect of the particles in PSO for crossover and mutation operation,
Update : 2024-05-18 Size : 28672 Publisher : Eleanpre
【AI-NN-PR】 Genetic-Algorithms DL : 0: 遗传算法的程序，其中包含编码，选择，变异，交叉，等遗传算子的实现，从而解决数学问题。- 遗传算法的程序，其中包含编码，选择，变异，交叉，等遗传算子的实现，从而解决数学问题。 Genetic algorithm program, which contains coding, selection, mutation, crossover, and other genetic operators to achieve, so as to solve mathematical problems.
Update : 2024-05-18 Size : 308224 Publisher : wer
【AI-NN-PR】 Genetic-Algorithm DL : 0: 人工智能方面利用遗传算法解决一阶函数优化求解,运用了轮赌盘选择，单点交叉等算法-Artificial intelligence using genetic algorithms to solve a first order function optimization solution, using a round roulette wheel selection, single-point crossover algorithms
Update : 2024-05-18 Size : 4202496 Publisher : chenjunkun
【matlab】 GA1 DL : 1: 针对LRP车辆调度问题设计了初始种群、交叉、变异等子程序-For LRP vehicle scheduling problem to design the initial population, crossover and mutation DengZi programs
Update : 2024-05-18 Size : 3072 Publisher : 古明志
【Process-Thread】 sutpend-integrate 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,-Using binary Gray coding, based on roulette method, non-linear ranking selection, uniform crossover, mutation,
Update : 2024-05-18 Size : 3072 Publisher : taphatqv
【2D Graphic】 8909421 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,-Using binary Gray coding, based on roulette method, non-linear ranking selection, uniform crossover, mutation,
Update : 2024-05-18 Size : 3072 Publisher : tjigfey
【Other】 error-rate DL : 0: this pdf represent the assessing Different Crossover Operators for Travelling Salesman Problem
Update : 2024-05-18 Size : 502784 Publisher : ss
【AI-NN-PR】 1 DL : 0: 遗传算法中的例子，对交叉概率与变异概率都进行解释-In the case of genetic algorithms, the crossover probability and the mutation probability are explained
Update : 2024-05-18 Size : 1024 Publisher : 潘茜
【matlab】 GA DL : 0: 包括遗传算法的选择、交叉、变异子程序和主程序，含算例仿真(Include the selection , crossover, mutation subroutine and the main program of genetic algorithm, including examples of simulation)
Update : 2024-05-18 Size : 39936 Publisher : 甜甜smile29
【AI-NN-PR】 GA DL : 0: 简单的遗传算法实现，选择，交叉，变异，适应度函数，种群的初始化等(Simple genetic algorithm implementation, selection, crossover, mutation, fitness function, the initialization of population and so on)
Update : 2024-05-18 Size : 300032 Publisher : sq123
【AI-NN-PR】 genetic algorithm DL : 0: 用遗传算法求解TSP问题，包含选择，交叉，变异算子。迭代效率较高(The genetic algorithm is used to solve the TSP problem, including selection, crossover and mutation operators. The iterative efficiency is higher)
Update : 2024-05-18 Size : 258048 Publisher : andycorleone
【matlab】遗传算法程序 DL : 0: 主要功能利用选择，交叉，变异等遗传学方法，实现最优值求解。(The main functions of selection, crossover, mutation and other genetic methods to achieve the best value solution.)
Update : 2024-05-18 Size : 5120 Publisher : hello，你好
【matlab】终板 matlab程序 DL : 0: 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！(GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!)
Update : 2024-05-18 Size : 89088 Publisher : Cookie_upc
【matlab】 PSO算法程序 DL : 0: 粒子群优化算法是一种基于群体智能的演化计算技术。与遗传算法相比，PSO没有遗传算法中的选择(Selection)、交叉(Crossover)、变异(Mutation)等操作，而是通过粒子在解空间追随最优的粒子进行搜索。(Particle Swarm Optimization (PSO) is an evolutionary computing technique based on group intelligence. Compared with the genetic algorithm, PSO has no selection, selection (crossover), mutation (Mutation) and other operations in the genetic algorithm, but through the particles in the solution space to follow the optimal particle search.)
Update : 2024-05-18 Size : 10240 Publisher : lazyxiaoming
【Applications】 GA DL : 0: 遗传算法，编码采用位编码，变异交叉采用位运算，效率高(The genetic algorithm uses bit encoding, mutation crossover uses bit operation, and the efficiency is high)
Update : 2024-05-18 Size : 2048 Publisher : hun9981

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