Search - Optimization of process by genetic algorithm

Search - Optimization of process by genetic algorithm - List

[Other] yichuan DL : 0: 通过自然选择、遗传、变异等作用机制，实现各个个体的适应性的提高。这一点体现了自然界中"物竞天择、适者生存"进化过程。1962年Holland教授首次提出了GA算法的思想，从而吸引了大批的研究者，迅速推广到优化、搜索、机器学习等方面，并奠定了坚实的理论基础。-Individuals through the mechanism of natural selection, genetic mutation, adaptation to improve. This is evidenced by the evolution process of " natural selection, survival of the fittest" in nature. Holland professor in 1962 first proposed the idea of the GA algorithm, which attracted a large number of researchers quickly extended to optimization, search, machine learning, and has laid a solid theoretical foundation.
Date : 2025-12-28 Size : 19kb User : vincent
[Other] 1 DL : 0: 智能优化算法作为新兴的搜索算法，一般是指利用自然界的生物系统与优化过程的某些相似性而逐步发展起来的优化算法，如遗传算法、粒子群算法、蚁群算法等，它们通过对搜索空间中的一组解按概率规则操作得到下一组解。人工鱼群算法源于对鱼群运动行为的研究，是一种新型的智能仿生优化算法。它具有较强的鲁棒性、优良的分布式计算机制、易于和其它方法结合等优点。目前对该算法的研究、应用已经渗透到多个应用领域，并由解决一维静态优化问题发展到解决多维动态组合优化问题。 -As an emerging intelligent optimization algorithms search algorithm, generally refers to the use of natural biological systems and the optimization process some similarities and gradually developed optimization algorithms, such as genetic algorithms, particle swarm optimization, ant colony algorithm, which searches through space of solutions according to the probability of a rule action to get the next set of solutions. AFSA stems from the behavior of fish movement, is a new type of intelligent bionic optimization algorithm. It has strong robustness, excellent distributed computer system, easy to combine with other methods, etc.. At present the algorithm research, application has penetrated into multiple applications, by solving one-dimensional static optimization problem developed to solve multidimensional dynamic combinatorial optimization problems.
Date : 2025-12-28 Size : 365kb User : eggitta
[Other] SpeedyGA DL : 0: 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 optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 3kb User : siddhuu
[Other] classical-GA-method DL : 0: 遗传算法是计算机科学人工智能领域中用于解决最优化的一种搜索启发式算法，是进化算法的一种。这种启发式通常用来生成有用的解决方案来优化和搜索问题。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。-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 optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Date : 2025-12-28 Size : 3kb User : liu
[Other] hangsun DL : 0: BP神经网络的整个训练过程,采用波束成形技术的BER计算，遗传算法无功优化。- The entire training process BP neural network, By applying the beam forming technology of BER Genetic algorithm based reactive power optimization.
Date : 2025-12-28 Size : 5kb User : 王功兴
[Other] matlab2013a遗传算法工具箱及安装教程 DL : 0: matlab的安装包附带教程。记得你安装在制定文件下(Workshop layout optimization is the process of processing equipment, material conveying equipment, work unit and corridor and so on, and arranging the objects in a limited production workshop. The job shop layout optimization model is a nonlinear continuous optimization model with more complex constraints, which can be optimized by genetic algorithm.)
Date : 2025-12-28 Size : 624kb User : 高岭之花
[Other] GA DL : 0: In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on bio-inspired operators such as mutation, crossover and selection.
Date : 2025-12-28 Size : 4kb User : reyhooon
[Other] ga DL : 0: 车间布局优化是将加工设备、物料输送设备、工作单元和通道走廊等布置物体合理地放置在一个有限的生产车间内的过程。车间布局优化模型是一个含有较为复杂约束的非线性连续优化模型，可以使用遗传算法进行优化。(The layout optimization of the workshop is the process of placing the processing equipment, material conveying equipment, work unit and channel corridor reasonably in a limited production workshop. The workshop layout optimization model is a nonlinear continuous optimization model with more complex constraints, which can be optimized by genetic algorithm.)
Date : 2025-12-28 Size : 13kb User : 隐者.