Iterated Local Search (ILS) is a metaheuristic optimization algorithm used for solving combinatorial and continuous optimization problems. It is particularly effective for NP-hard problems. The method combines local search with a mechanism to escape local optima through perturbation, followed by a re-optimization of the solution. ### Key Components of Iterated Local Search: 1. **Initial Solution**: The algorithm starts with an initial feasible solution, which can be generated randomly or through some heuristics.
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