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: Applications of Metaheuristics in Process Engineering
  name:
    name part: Valadi, Jayaraman.
    role:
      role term: editor.
  name:
    name part: Siarry, Patrick.
    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: XIII, 444 p. 164 illus., 50 illus. in color. online resource.
  abstract: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability, and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization, and mixed integer optimization. They are thus beginning to play a key role in different industrially important process engineering applications, among them the synthesis of heat and mass exchange equipment, synthesis of distillation columns, and static and dynamic optimization of chemical and bioreactors. This book explains cutting-edge research techniques in related computational intelligence domains and their applications in real-world process engineering. It will be of interest to industrial practitioners and research academics.
  table of contents: Metaheuristics in Process Engineering: A Historical Perspective -- Applications of Genetic Algorithms in Chemical Engineering I: Methodology -- Applications of Genetic Algorithms in Chemical Engineering II: Case Studies -- Strategies for Evolutionary Data-Driven Modeling in Chemical and Metallurgical Systems -- Swarm Intelligence in Pulp and Paper Process Optimization -- Particle Swarm Optimization Technique for Optimal Design of Plate Type Distillation Column -- Reliable Optimal Control of a Fed-Batch Fermentation Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Network Models -- Biogeography-Based Optimization (BBO) for Dynamic Optimization of Chemical Reactors -- Biogeography-Based Optimization (BBO) Algorithm for Optimization of Heat Exchangers -- Optimization Heuristics Mimicking Chemical Processes -- In Silico Maturation: Processing Sequences to Improve Biopolymer Function Based on Genetic Algorithms -- Molecular Engineering of Electrically Conducting Polymers Using Artificial Intelligence Methods -- Applications of Genetic Algorithms in QSAR/QSPR Modeling -- Genetic Algorithms in Drug Design: A Not So Old Story in a Newer Bottle -- Multi objective Genetic Algorithms for Chemical Engineering Applications -- A Multi objective Modelling and Optimization Framework for Operations Management of a Fresh Fruit Supply Chain: A Case Study on a Mexican Lime Company -- Jumping Gene Adaptations of NSGA-II with Altruism Approach: Performance Comparison and Application to Williams-Otto Process -- Hybrid Approach for Multi objective Optimization and Its Application to Process Engineering Problems.
  note: edited by Jayaraman Valadi, Patrick Siarry.
  subject:
    topic: Computer science
  subject:
    topic: Chemical engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computational Intelligence
  subject:
    topic: Industrial Chemistry/Chemical Engineering
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319065083
  identifier: http://dx.doi.org/10.1007/978-3-319-06508-3
  record info:
    record creation date: 140807
    record change date: 20151204145908.0
    record identifier: 978-3-319-06508-3