在Google Colab中安装Couenne求解器的替代方案咨询

原Ampl开源版Couenne的下载链接已失效，触发如下解压错误：

[couenne-linux64.zip]
End-of-central-directory signature not found. Either this file is not
a zipfile, or it constitutes one disk of a multi-part archive. In the
latter case, the central directory and zipfile comment will be found on
the last disk(s) of this archive.
unzip: cannot find zipfile directory in one of couenne-linux64 or
couenne-linux64.zip, and cannot find couenne-linux64.ZIP, period.

可通过以下两种方法在Colab环境中重新安装Couenne并配合Pyomo使用：

方法一：Conda安装（推荐） #

Colab默认无Conda环境，先安装Miniconda再从conda-forge源获取Couenne：

1. 安装Miniconda到Colab本地

!wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
!bash Miniconda3-latest-Linux-x86_64.sh -b -f -p /usr/local

2. 安装Couenne与Pyomo

!conda install -y -c conda-forge couenne pyomo

3. 验证安装有效性

import pyomo.environ as pyo

solver = pyo.SolverFactory('couenne')
print("Couenne求解器状态:", solver.available())

方法二：GitHub预编译包安装 #

若Conda安装遇阻，可直接使用COIN-OR官方发布的预编译二进制包：

1. 下载预编译压缩包

!wget -q https://github.com/coin-or/Couenne/releases/download/releases%2F0.5.8/couenne-0.5.8-linux-x86_64.tar.gz

2. 解压并赋予执行权限

!tar -xzf couenne-0.5.8-linux-x86_64.tar.gz
!chmod +x couenne-0.5.8-linux-x86_64/bin/couenne

3. 配置Pyomo识别求解器路径

import pyomo.environ as pyo

couenne_exec_path = '/content/couenne-0.5.8-linux-x86_64/bin/couenne'
solver = pyo.SolverFactory('couenne', executable=couenne_exec_path)
print("Couenne求解器状态:", solver.available())

注：GitHub预编译包版本可能更新，若链接失效可前往COIN-OR官方仓库查找最新Linux版本。

内容的提问来源于stack exchange，提问作者N_Sh