Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications

简介:

本书讨论了遗传算法 (GAs) 和遗传编程 (GP) 背景下的算法发展。它将算法应用于重要的组合优化问题,并使用HeuristicLab作为算法开发平台来描述结构识别。

英文简介:

This book discusses algorithmic developments in the context of Genetic Algorithms (GAs) and Genetic Programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.

书名
Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications
译名
遗传算法和遗传编程:现代概念和实际应用
语言
英语
年份
2009
页数
395页
大小
9.38 MB
标签
  • 算法
  • 下载
    pdf iconGenetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications.pdf
    密码
    65536

    最后更新:2025-04-12 23:57:50

    ←Kubernetes Security and Observability: A Holistic Approach to Securing Containers and Cloud Native Applications

    →Open Access in Theory and Practice