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Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems

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Abstract

This editorial note presents the motivations, objectives, and structure of the special issue on scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. In addition, it provides the link to an associated Website where complementary material to the special issue is available.

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Authors and Affiliations

  1. Department of Computer Science and A.I., University of Granada, 18071, Granada, Spain

    M. Lozano & F. Herrera

  2. Department of Computer Languages and Systems, University of Cadiz, 11003, Cadiz, Spain

    D. Molina

Authors
  1. M. Lozano
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  2. D. Molina
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  3. F. Herrera
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Correspondence to M. Lozano.

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Lozano, M., Molina, D. & Herrera, F. Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Comput 15, 2085–2087 (2011). https://doi.org/10.1007/s00500-010-0639-2

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  • DOI: https://doi.org/10.1007/s00500-010-0639-2

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