禁忌搜索算法java
时间: 2024-12-30 19:21:53 浏览: 5
### 禁忌搜索算法简介
禁忌搜索(Tabu Search)属于元启发式算法的一种,旨在克服传统局部搜索方法容易陷入局部最优解的问题。此算法引入了记忆机制——即所谓的“禁忌表”,用于记录已经访问过的状态或操作,在一定迭代次数内阻止返回这些状态,从而促使搜索过程探索新的解决方案空间[^1]。
### Java 实现范例
下面提供了一个简化版的禁忌搜索框架实现:
```java
import java.util.*;
public class TabuSearch {
private static final int MAX_ITERATIONS = 100;
private static final int TABU_TENURE = 10;
public static void main(String[] args) {
Solution currentSolution = new Solution();
List<Solution> tabuList = new ArrayList<>();
for (int i = 0; i < MAX_ITERATIONS; ++i){
Collection<Solution> neighbors = generateNeighbors(currentSolution);
Optional<Solution> bestNeighborOpt = findBestNonTabuNeighbor(neighbors, tabuList);
if (!bestNeighborOpt.isPresent()) continue;
Solution bestNeighbor = bestNeighborOpt.get();
// 更新当前解为最佳邻居解
currentSolution = bestNeighbor;
// 将新选中的移动加入到禁忌列表中并维护其大小不超过设定值
updateTabuList(tabuList, bestNeighbor.moveFromCurrent(), TABU_TENURE);
System.out.println("Iteration " + i + ": Best solution found so far is " + currentSolution.getValue());
}
}
private static void updateTabuList(List<Solution> list, Move move, int tenure) {
list.add(new Solution(move));
if(list.size() > tenure)
list.remove(0);
}
private static Optional<Solution> findBestNonTabuNeighbor(Collection<Solution> solutions, List<Solution> tabuList) {
return solutions.stream()
.filter(solution -> !tabuList.contains(solution))
.max(Comparator.comparingDouble(Solution::getValue));
}
private static Collection<Solution> generateNeighbors(Solution s) {
// 这里应该定义如何生成邻域内的候选方案集
throw new UnsupportedOperationException("Not implemented");
}
}
class Solution implements Comparable<Solution>{
double value;
Move lastMove;
@Override
public boolean equals(Object o){ /* ... */ }
@Override
public int hashCode(){ /* ... */ }
@Override
public int compareTo(Solution other){ /* ... */ }
public double getValue(){
return this.value;
}
public Move moveFromCurrent(){
return this.lastMove;
}
}
interface Move {/* 定义具体问题下的动作 */}
```
上述代码展示了禁忌搜索的核心逻辑结构,但请注意`generateNeighbors()`函数以及`Solution`, `Move`类的具体实现依赖于实际应用场景和目标函数的设计需求。因此这部分留给开发者根据实际情况完成。
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