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: Adaptive Differential Evolution
    sub title: A Robust Approach to Multimodal Problem Optimization
  name:
    name part: Zhang, Jingqiao.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Sanderson, Arthur C.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 164 p. online resource.
  abstract: Optimization problems are ubiquitous in academic research and real-world applications wherever such resources as space, time and cost are limited. Researchers and practitioners need to solve problems fundamental to their daily work which, however, may show a variety of challenging characteristics such as discontinuity, nonlinearity, nonconvexity, and multimodality. It is expected that solving a complex optimization problem itself should easy to use, reliable and efficient to achieve satisfactory solutions. Differential evolution is a recent branch of evolutionary algorithms that is capable of addressing a wide set of complex optimization problems in a relatively uniform and conceptually simple manner. For better performance, the control parameters of differential evolution need to be set appropriately as they have different effects on evolutionary search behaviours for various problems or at different optimization stages of a single problem. The fundamental theme of the book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. Topics covered in this book include: Theoretical analysis of differential evolution and its control parameters Algorithmic design and comparative analysis of parameter adaptive schemes Scalability analysis of adaptive differential evolution Adaptive differential evolution for multi-objective optimization Incorporation of surrogate model for computationally expensive optimization Application to winner determination in combinatorial auctions of E-Commerce Application to flight route planning in Air Traffic Management Application to transition probability matrix optimization in credit-decision making.
  table of contents: Related Work and Background -- Theoretical Analysis of Differential Evolution -- Parameter Adaptive Differential Evolution -- Surrogate Model-Based Differential Evolution -- Adaptive Multi-objective Differential Evolution -- Application to Winner Determination Problems in Combinatorial Auctions -- Application to Flight Planning in Air Traffic Control Systems -- Application to the TPM Optimization in Credit Decision Making -- Conclusions and Future Work.
  note: by Jingqiao Zhang, Arthur C. Sanderson.
  subject:
    topic: Mathematics
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Applications of Mathematics
  classification: TA342-343
  classification: 003.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Adaptation Learning and Optimization, 1
  identifier: 9783642015274
  identifier: http://dx.doi.org/10.1007/978-3-642-01527-4
  record info:
    record creation date: 100301
    record change date: 20151204165707.0
    record identifier: 978-3-642-01527-4