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Computer Science - Artificial Intelligence | Metaheuristics

Metaheuristics

Metaheuristics

Editor-in-Chief: Patrick Siarry

ISSN: 2522-8986 (print version)
ISSN: 2522-8994 (electronic version)

Journal no. 42257

  • First journal dedicated to this topic
  • Covers traditional and advanced approaches
  • Interesting for academic and industrial researchers
This journal brings together outstanding academic and industrial research and recent developments in the field of metaheuristics and their applications.

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity - Mathematics - Operations Research & Decision Theory - Theoretical Computer Science

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For authors and editors

  • Aims and Scope

    Aims and Scope

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    This journal brings together outstanding academic and industrial research and recent developments in the field of metaheuristics, and their applications in the industrial world.

    Among the subjects to be considered:  

    • theoretical developments in metaheuristics, such as evolutionary algorithms, tabu search, simulated annealing, ant colony optimization, particle swarm optimization, greedy randomized adaptive search procedures, memetic algorithms, variable neighbourhood search, guided local search, scatter search, and path relinking;
    • performance comparisons of metaheuristics;
    • cooperative methods combining different types of approaches, for example constraint programming and mathematical programming techniques;
    • parallel and distributed metaheuristics for multiobjective optimization;
    • adaptation of discrete metaheuristics to continuous optimization;
    • dynamic optimization;
    • software implementations; and
    • real-life applications.
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  • Instructions for Authors

    Instructions for Authors

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