Metaheuristic Algorithms in Modeling and Optimization

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@InCollection{Gandomi:2013:MASI,
  author =       "Amir Hossein Gandomi and Xin-She Yang and 
                 Siamak Talatahari and Amir Hossein Alavi",
  title =        "Metaheuristic Algorithms in Modeling and
                 Optimization",
  editor =       "Amir Hossein Gandomi and Xin-She Yang and 
                 Siamak Talatahari and Amir Hossein Alavi",
  booktitle =    "Metaheuristic Applications in Structures and
                 Infrastructures",
  publisher =    "Elsevier",
  address =      "Oxford",
  year =         "2013",
  chapter =      "1",
  pages =        "1--24",
  keywords =     "genetic algorithms, genetic programming,
                 Nature-inspired algorithm, metaheuristic algorithms,
                 modeling, optimisation",
  isbn13 =       "978-0-12-398364-0",
  DOI =          "doi:10.1016/B978-0-12-398364-0.00001-2",
  URL =          "http://www.sciencedirect.com/science/article/pii/B9780123983640000012",
  abstract =     "Metaheuristic algorithms have become powerful tools
                 for modelling and optimisation. This chapter provides
                 an overview of nature-inspired metaheuristic
                 algorithms, especially those developed in the last two
                 decades, and their applications. We will briefly
                 introduce algorithms such as genetic algorithms,
                 differential evolution, genetic programming, fuzzy
                 logic, and most importantly, swarm-intelligence-based
                 algorithms such as ant and bee algorithms, particle
                 swarm optimization, cuckoo search, firefly algorithm,
                 bat algorithm, and krill herd algorithm. We also
                 briefly describe the main characteristics of these
                 algorithms and outline some recent applications of
                 these algorithms.",
}

Genetic Programming entries for A H Gandomi Xin-She Yang Siamak Talatahari A H Alavi

Citations