Multi-objective Optimization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Carlos A. Coello Coello

ABSTRACT

This chapter provides a short overview of multi-objective optimization using metaheuristics. The chapter includes a description of some of the main metaheuristics that have been used for multi-objective optimization. Although special emphasis is made on evolutionary algorithms, other metaheuristics, such as particle swarm optimization, artificial immune systems, and ant colony optimization, are also briefly discussed. Other topics such as applications and recent algorithmic trends are also included. Finally, some of the main research trends that are worth exploring in this area are briefly discussed. More... »

PAGES

177-204

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  • Book

    TITLE

    Handbook of Heuristics

    ISBN

    978-3-319-07123-7
    978-3-319-07124-4

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-07124-4_17

    DOI

    http://dx.doi.org/10.1007/978-3-319-07124-4_17

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1106130308


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