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Jingdong book

蚁群优化算法

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Jingdong book

蚁群优化算法

Name: 蚁群优化算法
Brand: Jingdong book
SKU: 3118194141
Price: 36.75 USD
Availability: OutOfStock

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《蚁群优化算法》围绕蚁群算法这一来自昆虫世界的优化思想，对其基本原理、核心步骤及其在优化相关领域的实现作了详细介绍。主要内容包括蚁群算法基本原理、蚁群算法在TSP及其扩展问题求解中的应用、蚁群算法在VRP及其扩展问题求解中的应用、蚁群算法在*优树问题求解中的应用、蚁群算法在整数规划问题求解中的应用、一般连续优化问题的蚁群算法以及多目标蚁群算法等。书中还给出了一些主要算法的Delphi程序实现源代码，可供参考或修改使用。
《蚁群优化算法》可供运筹学、管理科学、系统工程、计算机科学等有关专业的高校师生、科研人员和工程技术人员阅读参考。

Catalogue

第1章引论
1．1 组合优化与计算复杂性
1．2 来自自然界的几类优化方法

第2章蚁群算法原理
2．1 基本思想
2．2 研究概况

第3章标准TSP的蚁群算法
3．1 TSP概述
3．2 经典方法
3．3 遗传算法与模拟退火法
3．4 蚁群算法
3．5 元胞蚁群算法及其收敛性

第4章扩展旅行商问题的蚁群算法
4．1 瓶颈TSP及其求解
4．2 最小比率TSP及其求解
4．3 时间约束TSP及其求解
4．4 多目标TSP及其求解

第5章车辆路径问题的蚁群算法
5．1 VRP概述
5．2 CVRP及其求解
5．3 多目标VRP及其求解
5．4 VRPTW及其求解
5．5 VRPSTW及其求解
5．6 FVRP及其求解

第6章最优树问题的蚁群算法
6．1 度约束最小树问题及其求解
6．2 Steiner最小树问题及其求解
6．3 Min-MaX度最优树问题与多目标最小树问题

第7章整数规划问题的蚁群算法
7．1 0-1规划问题及其求解
7．2 背包问题及其求解
7．3 多目标0-1规划问题及其求解
7．4 一般整数规划问题及其求解

第8章连续优化问题的蚁群算法
8．1 基本蚁群算法
8．2 元胞蚁群算法
8．3 平面选址问题及其求解
8．4 多目标优化问题及其求解

第9章其他优化问题的蚁群算法
9．1 二次分配问题及其求解
9．2 图着色问题及其求解
9．3 多目标最短路及其求解

参考文献
附录中国144城市相对坐标数据
后记
《运筹与管理科学丛书》已出版书目

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Jingdong book

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China

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