Parallel simulated annealing algorithms
Journal of Parallel and Distributed Computing
The ant colony optimization meta-heuristic
New ideas in optimization
Parallelization Strategies for Ant Colony Optimization
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Genetic Algorithms: Principles and Perspectives: A Guide to GA Theory
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
Parallel Metaheuristics: A New Class of Algorithms
Parallel Metaheuristics: A New Class of Algorithms
Parallel ant colony optimization for the traveling salesman problem
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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The paper compares the efficiency of several metaheuristics for solving the travelling salesman problem. Parallel computational models are suggested for ant colony optimization, simulated annealing and genetic algorithm. The models utilize multiple independent runs on multicomputer platform. The performance parameters and parallelism profiling of the metaheuristics are made based on hybrid (MPI+OpenMP) implementations of the suggested models for solving several instances of TSP from the TSPLIB.