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: Advances in Swarm Intelligence
    sub title: 10th International Conference, ICSI 2019, Chiang Mai, Thailand, July 26-30, 2019, Proceedings, Part I
  name:
    name part: Tan, Ying.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Shi, Yuhui.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Niu, Ben.
    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: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 462 p. 181 illus., 106 illus. in color. online resource.
  abstract: The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management.
  table of contents: Novel Models and Algorithms for Optimization -- Generative Adversarial Optimization -- Digital Model of Swarm Unit System with Interruptions -- Algorithm Integration Behavior for Discovering Group Membership Rules -- Success History Based Position Adaptation in Co-Operation of Biology Related Algorithms -- An Inter-Peer Communication Mechanism Based Water Cycle Algorithm -- Cooperation-based Gene Regulatory Network for Target Entrapment -- Population-based Metaheuristics for Planning Interval Training Sessions in Mountain Biking -- Comparison of Infrastructure and Adhoc Modes in Survivable Networks Enabled by Evolutionary Swarms -- Particle Swarm Optimization -- An Analysis of Control Parameter Importance in the Particle Swarm Optimization Algorithm -- Parameters Optimization Of Relay Self-Oscillations Sampled Data Controller Based On Particle Swarm Optimization -- Niching Particle Swarm Optimizer with Entropy-based Exploration Strategy for Global Optimization -- A Study on Designing an Aperiodic Antenna Array using Boolean PSO -- Building Energy Performance Optimization: A New Multi-Objective Particle Swarm Method -- A Novel PSOEDE Algorithm for Vehicle Scheduling Problem in Public Transportation -- Hierarchical Competition Framework for Particle Swarm Optimization -- Study on Method of Cutting Trajectory Planning Based on Improved Particle Swarm Optimization for Roadheader -- Variants and Parameter Investigations of Particle Swarm Optimisation for Solving Course Timetabling Problems -- Ant Colony Optimization -- Multiple Start Modifications Of Ant Colony Algorithm For Multiversion Software Design -- Ant Colony Algorithm for Cell Tracking Based on Gaussian Cloud Model -- Physarum-based Ant Colony Optimization for Graph Coloring Problem -- Ant Colony Algorithm Based Scheduling with Lot-sizing for Printed Circuit Board Assembly Shop -- Variable Speed Robot Navigation by an ACO Approach -- Solving Scheduling Problem in PCB Assembly and Its Optimization Using ACO -- Fi…
  note: edited by Ying Tan, Yuhui Shi, Ben Niu.
  subject:
    topic: Algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer communication systems
  subject:
    topic: Arithmetic and logic units, Computer
  subject:
    topic: Application software
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Arithmetic and Logic Structures
  subject:
    topic: Information Systems Applications (incl. Internet)
  classification: QA76.9.A43
  classification: 005.1
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Theoretical Computer Science and General Issues ; 11655
  identifier: 9783030263690
  identifier: https://doi.org/10.1007/978-3-030-26369-0
  record info:
    record creation date: 190718
    record change date: 20191026232457.0
    record identifier: 978-3-030-26369-0