代码 | 自适应大邻域搜索系列之(7) - 局部搜索LocalSearch的代码解析

前言

好了小伙伴们我们又见面了,咳咳没错还是我。不知道你萌接连被这么多篇代码文章刷屏是什么感受,不过,酸爽归酸爽。今天咱们依然讲代码哈~不过今天讲的依然很简单,关于局部搜索LocalSearch的代码。

01 总体概述

其实,LocalSearch在本算法中不是必须使用的,用户可以根据需要来选择是否启用这个功能。但是一般情况下,有了LocalSearch以后效果会好一点。而且本着服务读者的态度(我可以不用,但是小编你不能不讲),就讲讲这个模块吧。和之前讲的几个模块差不多,具体代码也是分成两个部分进行实现的:

  • LocalSearch的定义
  • LocalSearch的管理

LocalSearch的定义用了一个很简单的抽象类ILocalSearch用来提供接口的、而LocalSearch的管理用了ILocalSearchManager、SimpleLocalSearchManager两个类,其中ILocalSearchManager也是抽象类,而SimpleLocalSearchManager则是继承于ILocalSearchManager并实现了相应的接口。下面对他们进行一一讲解。

02 ILocalSearch

其实这个类只提供了两个纯虚函数作为接口,也是简单得不能再简单了,performLocalSearch用以执行一次LocalSearch操作,getName返回该LocalSearch的名字。

class ILocalSearch
{
public:
    //! Perform a local search on the solution.
    //! \return true if the solution is improved.
    virtual bool performLocalSearch(ISolution& sol)=0;

    //! \return the name of the local search operator.
    virtual std::string getName()=0;
};

03 ILocalSearchManager

这个抽象类也非常简单,只有两个接口。useLocalSearch用以判断是否要使用LocalSearch,而startSignal开始信号,在启动整个算法的时候起到协调作用。

class ILocalSearchManager
{
public:

    //! \param sol the solution to be improved.
    //! \param status the status of the alns iteration.
    //! \return true if the solution has been improved.
    virtual bool useLocalSearch(ISolution& sol, ALNS_Iteration_Status& status)=0;

    //! Indicate that the optimization process starts.
    virtual void startSignal()=0;
};

04 SimpleLocalSearchManager

SimpleLocalSearchManager对LocalSearch进行了一定的扩充,加入了addLocalSearchOperator的操作,用以添加LocalSearch。值得注意的是,该LocalSearchManager管理的可以是多个LocalSearch。

class SimpleLocalSearchManager: public ILocalSearchManager {
public:

    SimpleLocalSearchManager(ALNS_Parameters& parameters){param = &parameters;};

    virtual ~SimpleLocalSearchManager(){};

    //! \param sol the solution to be improved.
    //! \param status the status of the alns iteration.
    //! \return true if the solution has been improved.
    virtual bool useLocalSearch(ISolution& sol, ALNS_Iteration_Status& status);

    //! Add a local search operator to the manager.
    void addLocalSearchOperator(ILocalSearch& ls);


    virtual void startSignal(){};
private:
    //! A vector containing the local search operators managed by the current instance.
    std::vector<ILocalSearch*> localSearchOperators;

    //! Parameters of the ALNS.
    ALNS_Parameters* param;
};

useLocalSearch和addLocalSearchOperator具体实现代码如下,相信对迭代搜索了解的同学,对下面的过程那是熟悉得不能再熟悉了,特别是improvement 变量的复位操作(如果有改进,那么接着搜索下去,直到最大迭代次数为止,如果没有改进就不搜索了。)addLocalSearchOperator就不需要讲解了吧~

bool SimpleLocalSearchManager::useLocalSearch(ISolution& sol, ALNS_Iteration_Status& status)
{
   if(status.getNewBestSolution()!=ALNS_Iteration_Status::TRUE
       || status.getAcceptedAsCurrentSolution()!=ALNS_Iteration_Status::UNKNOWN)
   {
       return false;
   }
   else
   {
       status.setLocalSearchUsed(ALNS_Iteration_Status::TRUE);
       bool improvement;
       do
       {
           improvement = false;
           for(size_t i = 0; i < localSearchOperators.size(); i++)
           {
               improvement = localSearchOperators[i]->performLocalSearch(sol)||improvement;
           }
       }while(improvement);
       if(improvement)
       {
           status.setImproveByLocalSearch(ALNS_Iteration_Status::TRUE);
           return true;
       }
       else
       {
           status.setImproveByLocalSearch(ALNS_Iteration_Status::FALSE);
           return false;
       }
   }
}

void SimpleLocalSearchManager::addLocalSearchOperator(ILocalSearch& ls)
{
   //TODO find out why the set.find() == set.end() does not work.
   bool ok = true;
   for(size_t i=0; i< param->getForbidenLsOperators().size() && ok; i++)
   {
       if(param->getForbidenLsOperators()[i] == ls.getName())
       {
           std::cout << "NO " << ls.getName() << std::endl;
           ok = false;
       }
   }
   if(ok)
   {
       localSearchOperators.push_back(&ls);
   }

}

05 小结

差不多到此整个ALNS框架已经讲得差不多了,相信大家在看了这么多代码以后,心里早已经有了一个数了。下面几篇推文将为大家展现一个实例,怎么在该框架的基础上定制自己的代码求解相应的问题。为了演示,还是给大家实例一个TSP问题的求解过程哈。谢谢!

最后做个小小说明:整个系列所有的代码在 代码 | 自适应大邻域搜索系列之(1) - 使用ALNS代码框架求解TSP问题 这篇文章中都能找到代码文件。

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转载自www.cnblogs.com/dengfaheng/p/10846578.html
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