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: Evolutionary Multi-Criterion Optimization
    sub title: First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001 Proceedings
  name:
    name part: Zitzler, Eckart.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Deb, Kalyanmoy.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Thiele, Lothar.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Coello Coello, Carlos.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Corne, David.
    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: 2001
    edition: 1st ed. 2001.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 714 p. online resource.
  abstract: This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
  table of contents: Tutorials -- Some Methods for Nonlinear Multi-objective Optimization -- A Short Tutorial on Evolutionary Multiobjective Optimization -- Invited Talks -- An Overview in Graphs of Multiple Objective Programming -- Poor-Definition, Uncertainty, and Human Factors - Satisfying Multiple Objectives in Real-World Decision-Making Environments -- Algorithm Improvements -- Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence -- Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms -- Adapting Weighted Aggregation for Multiobjective Evolution Strategies -- Incrementing Multi-objective Evolutionary Algorithms: Performance Studies and Comparisons -- A Micro-Genetic Algorithm for Multiobjective Optimization -- Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions -- Multi-objective Optimisation Based on Relation Favour -- Performance Assessment and Comparison -- Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Brachytherapy -- On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective Optimization -- Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control -- Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function -- A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II -- Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem - Computational Experiment -- Constraint Handling and Problem Decomposition -- An Infeasibility Objective for Use in Constrained Pareto Optimization -- Reducing Local Optima in Single-Objective Problems by Multi-objectivization -- Constrained Test Problems for Multi-objective Evolutionary Optimization -- Constraint Method-Based Evolutionary Algorithm (CMEA) for Multiobjective Optimiza…
  note: edited by Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos Coello Coello, David Corne.
  subject:
    topic: Mathematical optimization
  subject:
    topic: Software engineering
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Computer science-Mathematics
  subject:
    topic: Artificial intelligence
  subject:
    topic: Optimization
  subject:
    topic: Software Engineering/Programming and Operating Systems
  subject:
    topic: Theory of Computation
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Discrete Mathematics in Computer Science
  subject:
    topic: Artificial Intelligence
  classification: QA402.5-402.6
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 1993
  identifier: 9783540447191
  identifier: https://doi.org/10.1007/3-540-44719-9
  record info:
    record creation date: 121227
    record change date: 20191025082717.0
    record identifier: 978-3-540-44719-1