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genalg
- The simple class for real-numbers genetic algorithm. The main advantage of this realisation is a lot of crossover functions. Simple, Arithmetic, Geometry, Discrete, Binary Crossover, Blend Crossover (BLX) are implemented. Class useful for numerical
Multiagent-Optimizer-with-Generalized-Edge-Assemb
- Multiagent Optimizer with Generalized Edge Assembly Crossover
Knapsack-problem-based-on-GA
- 本文件含论文及源代码。论文首先介绍了基本遗传算法的基本原理、特点及其基本实现技术，接着针对背包问题，论述了遗传算法在编码表示和遗传算子（包括选择算子、交叉算子变异算子这三种算子）等方面的应用情况。并且结合背包问题实例，给出了具体的编码方法，运行参数，群体大小，最大迭代次数，以及合适的遗传算子。最后，简单说明了遗传算法在求解背包问题中的应用并对遗传算法解决背包问题的前景提出了展望。-The file containing the papers and source code. The paper
crossover-point
- C++实现的卫星测高交叉点模拟计算，程序中包含6个低轨卫星SP3精密星历数据。-The crosspoint analog C++ achieve altimetry calculation program contains 6 the LEO satellite SP3 precision ephemeris data.
nsga2code
- NSGA-II的C语言算法实现，包含交叉、变异个步骤-NSGA-II algorithm in C language to achieve, including crossover and mutation steps
A-Detailed-procedure-of-GA
- 遗传算法详解的程序，包括常用的交叉和变异方法，每种方法都有程序相对应。对遗传算法整体程序的编写，可以用作参考-Genetic algorithms explain the procedure, including the commonly used methods of crossover and mutation, each method has procedures correspond. The overall process for the preparation of genetic
GL-25
- 基于新的交叉算子的全局与局部实数编码遗传算法GL-25-Global and local real-coded genetic algorithms based on parent-centric crossover operators
yichuansuanfaduomubiao
- 本遗传算法主要采用选择、交叉和变异三种方式实现。在定义域内随机选取50组自变量作为初始种群，进行交叉、变异、选择复制后得到相应的最大函数值-The genetic algorithm is mainly using selection, crossover and mutation are three ways to realize. Randomly selected 50 set of independent variables in domain as the initial popul
genetic-algorithm
- In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimizatio
binary-ga
- THIS A MATLAB CODE WITH GENETIC ALGORITHM.I WROTE IT FOR CROSSOVER OPERATOR IN GENETIC CODE IN MATLAB-THIS IS A MATLAB CODE WITH GENETIC ALGORITHM.I WROTE IT FOR CROSSOVER OPERATOR IN GENETIC CODE IN MATLAB
EWA
- Earthworms can aerate the soil with their burrowing action and enrich the soil with their waste nutrients. Inspired by the earthworm contribution in nature, a new kind of bio-inspired metaheuristic algorithm, called earthworm optimization algorithm (
jifjsaf
- Particle swarm optimization algorithm, also known as particle swarm optimization algorithm (Swarm Optimization Particle), abbreviated as PSO, is a parallel algorithm on the basis of the observation of the behavior of animal clusters, the use of group
biobjective
- 双目标遗传算法 程序包含 交叉 变异 迁移 解码 编码 选择 以及pareto最优解 可以运行-Dual objective genetic algorithm program includes crossover and mutation migration decoding and encoding options and pareto optimal solution can run
GA
- 应用遗传算法解决旅行商（TSP）问题，算法中的染色体交叉过程改进了基本遗传算法的交叉办法。改程序可以求解30个城市的旅行商问题，也可以稍作修改继续扩展为更多城市的旅行商问题。-Applying the genetic algorithm to solve the traveling salesman (TSP) problem, the algorithm improves the process of chromosomal crossover compared to traditional