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关于链式智能体遗传算法用于数值优化和特征选择的论文，可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
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ADP宏指令:
ADP提供了一种既方便又功能强大的宏指令应用方式，使人机得以经由内部宏指令(Macro Function)功能执行数值运算，逻辑判断，流程控制，数值传递，数值转换，定时器计数器，自定通讯指令操作等等，由宏指令的使用可让人机不仅和PLC联机通讯，同时由另一通讯端口来执行同其它通讯设备联机，此功能不仅提供有效的系统整合同时成为最经济便宜的硬件应用架构。而且使用宏指令也可大大的减少PLC的程序容量，让PLC的控制精度及效率最佳化。-ADP macros: ADP provides
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This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data
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有数值计算中常用的Visual Fortran子过程近200个，内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组，每一个子程序都包括功能、方法、使用说明、子程序和例子五部分。本书的所有子过程都在Visual Fortran 5.0版本上进行过验证，程序都能正确运行。同时配书发行光盘，包括所有子过程、验证过程及所有验
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An enhanced Artificial Bee Colony (ABC) optimization algorithm, which is
called the Interactive Artificial Bee Colony (IABC) optimization, for numerical optimization
problems, is proposed in this paper.
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Agent 蚁群算法 专家系统 优化排序 算例分析 多Agent系统-Ant colony optimization algorithm for expert systems sort numerical example
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数据优化， numerical optimization- numerical optimization
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为改进生物地理学优化(BBO)算法在工程结构优化设计中的性能，引入非线性物种迁移模型和“精英引导”等思想对BBO算法进行改进，并将算法应用于结构工程优化领域。以２ 个连续变量的经典桁架结构为例，进行结构在满足各项约束条件下质量最小的优化设计。数值算例表明，改进算法应用于工程结构优化设计时具有收敛速度快、稳定性好的特点，性能比BBO算法有较大提升，可以有效地应用于工程结构优化设计。-To improve biogeography optimization (BBO) algorithm in en
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联合稀疏恢复的Swarm算法，在基本particle swarm optimization (PSO)算法基础上进行改进-Inspired by particle swarm
optimization (PSO) algorithm and some sparse recovery algorithms,
a novel swarm intelligence algorithm called M-SISR is
proposed to solve the problem. In M-
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Zhan3g, Extrea-Seeking Numerical Optimization-scheme-Zhan3g, Extrea-Seeking Numerical Optimization-scheme
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The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
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The Bee Colony Optimization (BCO) meta-heuristic deals with combinatorial optimization problems. It is
biologically inspired method that explores collective intelligence applied by the honey bees during nectar
collecting process. In this paper we
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