Future Generation Computer Systems
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Ant Colony Optimization
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
The Cross Entropy Method: A Unified Approach To Combinatorial Optimization, Monte-carlo Simulation (Information Science and Statistics)
A Guided Cooperative Search for the Vehicle Routing Problem with Time Windows
IEEE Intelligent Systems
Ant colony optimization theory: a survey
Theoretical Computer Science
Classification of applied methods of combinatorial optimization
Cybernetics and Systems Analysis
A unified view on hybrid metaheuristics
HM'06 Proceedings of the Third international conference on Hybrid Metaheuristics
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
MAGMA: a multiagent architecture for metaheuristics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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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.