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: Hybrid Evolutionary Algorithms
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: Grosan, Crina.
    role:
      role term: editor.
  name:
    name part: Ishibuchi, Hisao.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 404 p. online resource.
  abstract: Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
  table of contents: Hybrid Evolutionary Algorithms: Methodologies, Architectures, and Reviews -- Quantum-Inspired Evolutionary Algorithm for Numerical Optimization -- Enhanced Evolutionary Algorithms for Multidisciplinary Design Optimization: A Control Engineering Perspective -- Hybrid Evolutionary Algorithms and Clustering Search -- A Novel Hybrid Algorithm for Function Optimization: Particle Swarm Assisted Incremental Evolution Strategy -- An Efficient Nearest Neighbor Classifier -- Hybrid Genetic: Particle Swarm Optimization Algorithm -- A Hybrid Genetic Algorithm and Bacterial Foraging Approach for Global Optimization and Robust Tuning of PID Controller with Disturbance Rejection -- Memetic Algorithms Parametric Optimization for Microlithography -- Significance of Hybrid Evolutionary Computation for Ab Initio Protein Folding Prediction -- A Hybrid Evolutionary Heuristic for Job Scheduling on Computational Grids -- Clustering Gene-Expression Data: A Hybrid Approach that Iterates Between k-Means and Evolutionary Search -- Robust Parametric Image Registration -- Pareto Evolutionary Algorithm Hybridized with Local Search for Biobjective TSP.
  note: edited by Ajith Abraham, Crina Grosan, Hisao Ishibuchi.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA345-345.5
  classification: 620.00420285
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 75
  identifier: 9783540732976
  identifier: http://dx.doi.org/10.1007/978-3-540-73297-6
  record info:
    record creation date: 100301
    record change date: 20151204164846.0
    record identifier: 978-3-540-73297-6