alns算法matlab代码
时间: 2023-09-15 16:19:20 浏览: 243
下面是一个简单的ALNS算法的MATLAB代码示例:
```matlab
function [bestSolution, bestCost] = alnsAlgorithm()
% 初始化问题和参数
problem = initializeProblem();
maxIterations = 100;
temperature = 100;
coolingFactor = 0.95;
% 初始化当前最优解
bestSolution = problem.initialSolution;
bestCost = evaluateCost(bestSolution);
% 迭代搜索
for i = 1:maxIterations
% 生成一个扰动解
disturbedSolution = disturbSolution(bestSolution);
% 评估扰动解的代价
disturbedCost = evaluateCost(disturbedSolution);
% 判断是否接受扰动解作为新解
if acceptSolution(bestCost, disturbedCost, temperature)
bestSolution = disturbedSolution;
bestCost = disturbedCost;
end
% 降低温度
temperature = temperature * coolingFactor;
end
end
function problem = initializeProblem()
% 在此处初始化问题,设置问题的初始解和评估函数等
problem.initialSolution = ...;
end
function cost = evaluateCost(solution)
% 在此处计算解的代价,返回一个表示代价的数值
cost = ...;
end
function disturbedSolution = disturbSolution(solution)
% 在此处生成一个扰动解,返回一个新的解
disturbedSolution = ...;
end
function accept = acceptSolution(currentCost, newCost, temperature)
% 根据代价差和当前温度判断是否接受新解
if newCost < currentCost
accept = true;
else
probability = exp((currentCost - newCost) / temperature);
accept = rand() <= probability;
end
end
```
请注意,这只是ALNS算法的一个简单实现示例,你需要根据你的具体问题来定义初始化问题、评估代价、扰动解和接受策略等函数。另外,该示例中的温度下降方式为指数型冷却,你也可以根据需要自定义其他的下降方式。
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