Hierarchical Model of Parallel Metaheuristic Optimization Algorithms

The paper introduces a novel model of parallel metaheuristic optimization algorithms. The hierarchical graph model of a parallel optimization algorithm is proposed. It consists of the model for a parallel optimization algorithm at the top level of the hierarchy and the model for a sequential optimiz...

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Published in:Procedia computer science Vol. 150; pp. 441 - 449
Main Authors: Seliverstov, E.Y., Karpenko, A.P.
Format: Journal Article
Language:English
Published: Elsevier B.V 2019
Subjects:
evolutionary algorithms
metaheuristic
optimization
parallel algorithms
parametric optimization
particle swarm optimization
parallel algorithms
metaheuristic
particle swarm optimization
optimization
evolutionary algorithms
parametric optimization
ISSN:1877-0509, 1877-0509
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Abstract The paper introduces a novel model of parallel metaheuristic optimization algorithms. The hierarchical graph model of a parallel optimization algorithm is proposed. It consists of the model for a parallel optimization algorithm at the top level of the hierarchy and the model for a sequential optimization algorithm at the bottom level. The unified representation of a metaheuristic optimization algorithm, which allows representing a class of metaheuristic algorithms, is used. The extension of the proposed model to the parametric hierarchical model is proposed. Graph model transformations for a parallel algorithm analysis and synthesis are introduced. The representation of several metaheuristic algorithms with the proposed model is discussed.
AbstractList The paper introduces a novel model of parallel metaheuristic optimization algorithms. The hierarchical graph model of a parallel optimization algorithm is proposed. It consists of the model for a parallel optimization algorithm at the top level of the hierarchy and the model for a sequential optimization algorithm at the bottom level. The unified representation of a metaheuristic optimization algorithm, which allows representing a class of metaheuristic algorithms, is used. The extension of the proposed model to the parametric hierarchical model is proposed. Graph model transformations for a parallel algorithm analysis and synthesis are introduced. The representation of several metaheuristic algorithms with the proposed model is discussed.
Author Karpenko, A.P.
Seliverstov, E.Y.
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Cites_doi 10.22201/icat.16656423.2009.7.03.489
10.1109/CEC.2009.4983227
10.1145/1389095.1389103
10.1145/79173.79181
10.1145/280277.280278
10.5019/j.ijcir.2008.133
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Keywords parallel algorithms
metaheuristic
particle swarm optimization
optimization
evolutionary algorithms
parametric optimization
Language English
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SubjectTerms evolutionary algorithms
metaheuristic
optimization
parallel algorithms
parametric optimization
particle swarm optimization
Title Hierarchical Model of Parallel Metaheuristic Optimization Algorithms
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