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A New Multi-region Modified Wind Driven Optimization Algorithm with Collision Avoidance for Dynamic Environments

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 8795)


This paper describes a new approach to deal with dynamic optimization that uses a multi-population. Its main features include the use of a modified wind driven optimization algorithm that aims to foster impact of pressure on velocities of particles. Moreover, a concept of multi-region inspired from meteorology has been introduced along with a new collision avoidance technique to maintain good diversity while preventing collision between sub-populations. The method has been assessed using Moving Peaks Benchmark and compared to state of the art methods. Preliminary results are very encouraging and show viability of the method.


  • Dynamic optimization
  • Swarm intelligence
  • Wind driven optimization
  • collision
  • multiple population methods
  • Moving Peaks Benchmark

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© 2014 Springer International Publishing Switzerland

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Boulesnane, A., Meshoul, S. (2014). A New Multi-region Modified Wind Driven Optimization Algorithm with Collision Avoidance for Dynamic Environments. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11896-3

  • Online ISBN: 978-3-319-11897-0

  • eBook Packages: Computer ScienceComputer Science (R0)