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Iterated Local Search (Stochastic Algorithm)

Iterated Local  Search  (Stochastic Algorithm).
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— Leave a comment        February 9

2011                  Iterated Local Search is a Metaheuristic and a Global Optimization technique.
It is an extension of Multi Start Search and may be considered a parent of many two-phase search approaches such as the Greedy  Randomized  Adaptive Search Procedure and Variable Neighborhood Search.
Strategy The  objective  of Iterated Local Search is to improve upon stochastic Multi-Restart Search by sampling in the broader neighborhood of candidate solutions and using a Local Search technique to refine solutions to their local optima.
Iterated Local Search explores a sequence of  solutions  created as perturbations of the current best solution, the result of which is refined using an embedded heuristic.
Implementation http://www.clever algorithm s.com/nature-inspired/stochastic/iterated_local_search.rb           Rate this:.
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