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《MATLAB智能算法30个案例分析》(第二版)例程
- 遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络等最常用的30个智能算法例程(Genetic Algorithm, etc. The original book supporting 30 intelligent algorithm routines)
MATLAB智能算法30个案例分析
- 采用案例形式,以智能算法为主线,讲解了遗传算法、免疫算法、退火算法、粒子群算法等最常用的智能算法的MATLAB实现。(Taking the intelligent algorithm as the main line, we explain the MATLAB implementation of the most commonly used intelligent algorithms, such as genetic algorithm, immune algorithm, annealin
30个智能算法模型
- 1-8遗传算法,9 多目标Pareto最优解搜索算法,10 基于多目标Pareto的二维背包搜索算法,11-12免疫算法,13-17粒子群算法,18鱼群算法,19-21模拟退火算法,22-24蚁群算法,25-27神经网络,28 支持向量机的分类,29 支持向量机的回归拟合,30 极限学习机的回归拟合及分类(1-8 genetic algorithm, 9 multi-objective Pareto optimal solution search algorithm, 10 multi-obje
算法优化
- 针对减速器的设计,利用多种启发式的优化算法进行设计,不同于常规的工程最优化方法。(For the design of the reducer, a variety of heuristic optimization algorithms are used for design, which is different from conventional engineering optimization methods.)