我在TSPTW问题中应用了Tabu搜索,但是它给我的结果类似于使用交换枢轴规则(两个城市之间的交换)获得最佳改进,但是在一些文章中,表明Tabu在最优的一个附近给出了良好的结果(我有相同初始解决方案的最佳解决方案,使用另一种算法违反0约束)。所以我想确定,这个结果是否正常?,这是我应用Tabu的伪代码:
Running Tabu for number of iteration
Tabu tenure=7
list TabuList
with each solution I saved, the two exchanged cities
bestsol=initial solution
currsol=initial solution
tabufun()
{
while(i<iteration)
{
i++;
currsol=bestneighbourhood(currsol)
if(currsol.fitness < bestsol.fitness) // curr is better than best
bestsol=currsol
}
return bestsol // result of tabu search
}
bestneighbourhood(currsol)
{
solutions=getallexchanepossiblesolution(currsol)
// if for first time save global min, firsttime is global variable set to true
for(each sol in solutions)
{
bestneigh=sol;
if(firstTime)
{
globalmin= sol.fitness
firsttime=false
}
if(sol.fitness()<globalmin)
{
globalmin=sol.fitness()
}
check if cityi and cityj existing in tabulist
if not existing
{
//update all elements in tabulist, element has tabu value=0 remove it from list
//and decrement tabu value of others
//add cityi and cityj in tabu list with intial tabu value=tabu tenure
break;
}
else
{
//check for aspiration
if(sol.fitness<globalmin)
{
//update tabu list
//reinitialize this cityi and cityj with tabu tenure
break;
}
else
conitnue
}
return bestneigh
}