Development and analysis of cooperative model-based metaheuristics

The paper proposes a methodology to construct cooperative metaheuristic methods for solving combinatorial optimization problems using model-based algorithms. Its distinctive feature is that the original problem is solved by a search (optimization) in the space of models. Such a search is performed on the basis of models formed by basic algorithms. Cooperative metaheuristics underlain by ant colony optimization and MH-method algorithms are developed, and the efficiency of the proposed methodology is evaluated by means of a computational experiment.