Swarm Intelligence and Numerical Methods


The journal of Swarm Intelligence and Numerical Methods publishes quality, peer-reviewed original research work on the recent developments in the multidisciplinary field of Swarm Intelligence, its applications in real world and Numerical Methods.

Editor-in-chief: 

            Professor Ling WANG
            Department of Automation,
            Tsinghua University
, China
           
wangling@mail.tsinghua.edu.cn

 

ISSN:

Frequency: Bimonthly (6 issues per year)

Scope:

  • Newly proposed algorithms,
  • Particle swarm optimization,
  • Genetic algorithms and its modifications,
  • Ant colony optimization,
  • Swarm intelligence of artificial bees and fireflies algorithms,
  • Teaching learning based optimization algorithm,
  • Swarm robotics and their cooperative behavior,
  • Bacterial foraging optimization,
  • Hybridization of swarm intelligence optimization,
  • Self organizing systems,
  • Artificial immune systems,
  • Review and comparative studies of swarm intelligence,
  • Flocking and schooling in birds and fish,
  • Swarm intelligence of wasps and termites,
  • Swarm inspired methods for solving real world problems and new methodologies in different domains,
  • Modeling and analysis of numerical algorithms,
  • Mathematical modeling and analysis,
  • Review and analysis of mathematical or numerical modelingor algorithms,
  • Computational engineering,
  • New emerging topics on multi-scale, multi-physics or multi-disciplinary research,
  • Optimization techniques,
  • Statistical simulations,
  • Computer simulations,
  • Verification and validation,
  • Element technology,
  • Theoretical work or modeling on network,
  • Solution techniques and parallel computing,
  • Mesh generation,
  • Damage and fracture,
  • Mechanics at micro and nano scales,
  • Electromagnetic,
  • Error estimation,
  • Low-speed fluid dynamics,
  • Coupled diffusion phenomena,
  • Fluid structure interaction.

 


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