rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Theory and Principled Methods for the Design of Metaheuristics
  name:
    name part: Borenstein, Yossi.
    role:
      role term: editor.
  name:
    name part: Moraglio, Alberto.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XX, 270 p. 62 illus., 16 illus. in color. online resource.
  abstract: Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between theory and practice, presenting principled methods that incorporate problem knowledge in evolutionary algorithms and other metaheuristics. The book consists of 11 chapters dealing with the following topics: theoretical results that show what is not possible, an assessment of unsuccessful lines of empirical research; methods for rigorously defining the appropriate scope of problems while acknowledging the compromise between the class of problems to which a search algorithm is applied and its overall expected performance; the top-down principled design of search algorithms, in particular showing that it is possible to design algorithms that are provably good for some rigorously defined classes; and, finally, principled practice, that is reasoned and systematic approaches to setting up experiments, metaheuristic adaptation to specific problems, and setting parameters. With contributions by some of the leading researchers in this domain, this book will be of significant value to scientists, practitioners, and graduate students in the areas of evolutionary computing, metaheuristics, and computational intelligence.
  table of contents: No Free Lunch Theorems: Limitations and Perspectives of Metaheuristics -- Convergence Rates of Evolutionary Algorithms and Parallel Evolutionary Algorithms -- Rugged and Elementary Landscapes -- Single-Funnel and Multi-funnel Landscapes and Subthreshold Seeking Behavior -- Black-Box Complexity for Bounding the Performance of Randomized Search Heuristics -- Designing an Optimal Search Algorithm with Respect to Prior Information -- The Bayesian Search Game -- Principled Design of Continuous Stochastic Search: From Theory to Practice -- Parsimony Pressure Made Easy: Solving the Problem of Bloat in GP -- Experimental Analysis of Optimization Algorithms: Tuning and Beyond -- Formal Search Algorithms + Problem Characterizations = Executable Search Strategies.
  note: edited by Yossi Borenstein, Alberto Moraglio.
  subject:
    topic: Computer science
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Computers
  subject:
    topic: Artificial intelligence
  subject:
    topic: Mathematical optimization
  subject:
    topic: Computational intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Theory of Computation
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Optimization
  subject:
    topic: Operation Research/Decision Theory
  classification: QA75.5-76.95
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Natural Computing Series
  identifier: 9783642332067
  identifier: http://dx.doi.org/10.1007/978-3-642-33206-7
  record info:
    record creation date: 131219
    record change date: 20151103123340.0
    record identifier: 978-3-642-33206-7