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: Parallel Problem Solving from Nature - PPSN V
    sub title: 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings
  name:
    name part: Eiben, Agoston E.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Bäck, Thomas.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Schoenauer, Marc.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Schwefel, Hans-Paul.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 1998
    edition: 1st ed. 1998.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XLVI, 1585 p. online resource.
  abstract: This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.
  table of contents: Modelling genetic algorithms: From Markov chains to dependence with complete connections -- On the optimization of unimodal functions with the (1+1) evolutionary algorithm -- A timing analysis of convergence to fitness sharing equilibrium -- Where elitists start limping evolution strategies at ridge functions -- A bit-wise epistasis measure for binary search spaces -- Inside GA dynamics: Ground basis for comparison -- The effect of spin-flip symmetry on the performance of the simple GA -- Fitness distance correlation and Ridge functions -- Accelerating the convergence of evolutionary algorithms by fitness landscape approximation -- Modeling building-block interdependency -- Mutate large, but inherit small! On the analysis of rescaled mutations in ( )-ES with noisy fitness data -- Creating robust solutions by means of evolutionary algorithms -- Analytic curve detection from a noisy binary edge map using genetic algorithm -- A comparison of dominance mechanisms and simple mutation on non-stationary problems -- Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm -- Optimization with noisy function evaluations -- On risky methods for local selection under noise -- Polygenic inheritance - A haploid scheme that can outperform diploidy -- Averaging efficiently in the presence of noise -- Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function -- Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms -- Landscape changes and the performance of Mapping Based Constraint handling methods -- A decoder-based evolutionary algorithm for constrained parameter optimization problems -- A spatial predator-prey approach to multi-objective optimization: A preliminary study -- Selective breeding in a multiobjective genetic algorithm -- Niching and elitist models for MOGAs -- Parallel evolutionary optimisation with constraint propagation …
  note: edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel.
  subject:
    topic: Computers
  subject:
    topic: Architecture, Computer
  subject:
    topic: Algorithms
  subject:
    topic: Microprocessors
  subject:
    topic: Computer programming
  subject:
    topic: Theory of Computation
  subject:
    topic: Computer System Implementation
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Processor Architectures
  subject:
    topic: Programming Techniques
  classification: QA75.5-76.95
  classification: QA76.63
  classification: 004.0151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 1498
  identifier: 9783540496724
  identifier: https://doi.org/10.1007/BFb0056843
  record info:
    record creation date: 121227
    record change date: 20191021162124.0
    record identifier: 978-3-540-49672-4