20130518--开源搜索引擎 zettair 安装 (0)

本文档详细介绍了如何在CentOS 6.0环境下快速安装ZettaIR搜索软件,包括解决安装过程中遇到的问题如缺少g++和zlib等问题,并提供官方安装步骤,适合初学者和技术人员参考。

zettair快速安装

20130518写

0 安装环境

centos6.0

intel i5

1官网安装指导(见文章尾)

http://www.seg.rmit.edu.au/zettair/quick_start.html

2 bug&fix

1, 找不到g++
     ===fix=== yum install g++
     2, src/libtextcodec/gunzipfilter.c:34:18: error: zlib.h: No such file or directory
     ===fix=== yum install zlib-devel.i686
     3, /home/wyk/work/zettair-0.9.3/.libs/libzet.so: undefined reference to `inflateEnd'    等其他reference
     ===fix=== Makefile中在LIBS=-lm 中加入-lz,  LIBS=-lm -lz 

附录:官方安装指导
  1. Download Zettair as a zip file.
  2. Change into the directory where you've saved Zettair and unzip it:
    $ cd ~
    $ unzip zettair-0.9.3.zip
    

  3. Download this zipped collection (40,872 bytes) of HTML documents (which are part of the HTML 4.01 standard at http://www.w3.org/TR/html4/)
  4. Change into the directory where you've saved the collection and unzip it:
    $ cd ~
    $ unzip html.zip
    Archive:  html.zip
      inflating: collection/about.html
      inflating: collection/charset.html
      inflating: collection/conform.html
    ...
    

  5. Make and install the Zettair software:
    $ cd zettair-0.9.3
    $ ./configure --prefix=$HOME/local/zettair-0.9.3
    $ make
    $ make install
    

  6. Build an index on the files in the collection:
    $ mkdir ~/index
    $ cd ~/index
    $ find ~/collection/* | ~/local/zettair-0.9.3/bin/zet -i 
    zettair version 0.9.3
    created new index 'index'
    sources (type html): collection/about.html collection/charset.html 
    collection/conform.html collection/cover.html collection/references.html 
    collection/types.html 
    parsing collection/about.html...
    parsing collection/charset.html...
    parsing collection/conform.html...
    parsing collection/cover.html...
    parsing collection/references.html...
    parsing collection/types.html...
    merging...
    
    summary: 6 documents, 2049 distinct index terms, 0 10541 terms
    

    A Unix note: the command find ~/collection/* lists all files in the directory ~/collection, and this is piped as input into the Zettair index construction process. The result is that Zettair indexes all files in the directory. This command does the same thing:

    $ ~/local/zettair-0.9.3/bin/zet -i -c ../config/parser_settings.html -t 
    HTML collection/about.html collection/charset.html collection/conform.html 
    collection/cover.html collection/references.html collection/types.html
    

  7. Search the collection:
    $ ~/local/zettair-0.9.3/bin/zet
    > Tim Berners-Lee
    1. file:///collection/about.html (score 2.455709, docid 0)
    2. file:///collection/references.html (score 1.087303, docid 4)
    
    2 results of 2 shown (took 0.001164 seconds)
    > tags
    1. file:///collection/conform.html (score 0.952401, docid 2)
    2. file:///collection/references.html (score 0.664334, docid 4)
    
    2 results of 2 shown (took 0.000962 seconds)
    

  8. Enjoy!



内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
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