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: Swarm, Evolutionary, and Memetic Computing
    sub title: First International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2010, Chennai, India, December 16-18, 2010. Proceedings
  name:
    name part: Panigrahi, Bijaya Ketan.
    role:
      role term: editor.
  name:
    name part: Das, Swagatam.
    role:
      role term: editor.
  name:
    name part: Suganthan, Ponnuthurai Nagaratnam.
    role:
      role term: editor.
  name:
    name part: Dash, Subhransu Sekhar.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 755 p. 214 illus. online resource.
  abstract: This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standards of the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.
  table of contents: Self-adaptive Differential Evolution with Modified Multi-Trajectory Search for CEC’2010 Large Scale Optimization -- Differential Evolution Based Ascent Phase Trajectory Optimization for a Hypersonic Vehicle -- Dynamic Grouping Crowding Differential Evolution with Ensemble of Parameters for Multi-modal Optimization -- Empirical Study on Migration Topologies and Migration Policies for Island Based Distributed Differential Evolution Variants -- Differential Evolution Based Fuzzy Clustering -- A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photometric Stereo -- Solving Multi Objective Stochastic Programming Problems Using Differential Evolution -- Multi Sensor Fusion Using Fitness Adaptive Differential Evolution -- Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies -- Design of Robust Optimal Fixed Structure Controller Using Self Adaptive Differential Evolution -- Electromagnetic Antenna Configuration Optimization Using Fitness Adaptive Differential Evolution -- Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problems -- A Self Adaptive Differential Evolution Algorithm for Global Optimization -- Optimization for Workspace Volume of 3R Robot Manipulator Using Modified Differential Evolution -- Adaptive Differential Evolution with p-Best Crossover for Continuous Global Optimization -- A New Particle Swarm Optimization Algorithm for Dynamic Environments -- Power Mutation Embedded Modified PSO for Global Optimization Problems -- PSO Advances and Application to Inverse Problems -- Adaptive and Accelerated Exploration Particle Swarm Optimizer (AAEPSO) for Solving Constrained Multiobjective Optimization Problems -- Expedite Particle Swarm Optimization Algorithm (EPSO) for Optimization of MSA -- Covariance Matrix Adapted Evolution Strategy Based Design of Mixed H2/H??? PID Controller -- Towards a Link between Knee Solutions and Preferred Solut…
  note: edited by Bijaya Ketan Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Subhransu Sekhar Dash.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer programming
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Programming Techniques
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Pattern Recognition
  subject:
    topic: Computer Communication Networks
  classification: QA76.6-76.66
  classification: 005.11
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 6466
  identifier: 9783642175633
  identifier: http://dx.doi.org/10.1007/978-3-642-17563-3
  record info:
    record creation date: 101203
    record change date: 20151204144359.0
    record identifier: 978-3-642-17563-3