Hybrid Metaheuristic Combining Ant Colony Optimization and H-Method
The paper presents a hybrid metaheuristic method ACO-H  for combinatorial optimization problems that combines two population-based approaches – ant colony optimization (ACO) and H-method. ACO is a multi-agent metaheuristic that has been successfully applied to many difficult optimization problems . H-method is an extension of the discrete downhill simplex method  that applies during the search process specially defined segments. Similar to H-method ideas were introduced in the context of tabu search and now are known as path relinking .
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