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I have been searching through internet how could simulated annealing to solve the vehicle routing problem, but didn't find anything that made it clear to me. Most of what I found are research papers intended to solve some specific variation of the routing problem.

So I would appreciate if someone can make some kind of explanation of possible ways two things can be related and give some links that to so.

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Simulated annealing is an optimization paradigm, in which (very roughly speaking) you start with some solution, and then try to make local changes that improve it, sometimes making a local change even if it doesn't improve.

Vehicle routing is an optimization problem. It is likely that the simulated annealing paradigm can be applied to it, probably in many different ways (corresponding to different notions of local change).

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  • $\begingroup$ Simulated annealing is mostly interesting because it's a strategy for changing how randomized choices change over time. $\endgroup$
    – Raphael
    Apr 11, 2016 at 22:12
  • $\begingroup$ Right, that's why I wrote very roughly. $\endgroup$ Apr 11, 2016 at 22:13
  • $\begingroup$ @Yuval I think there's no short answer to OPs question. But how does your answer help OP at all? $\endgroup$
    – Auberon
    Apr 13, 2016 at 11:23
  • $\begingroup$ @Auberon If you're not happy with my answer, add a better one yourself. You can also downvote my answer, if you haven't already done so. $\endgroup$ Apr 13, 2016 at 12:38

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