Vector Field Benchmark for Collective Search in Unknown Dynamic Environments

  • Palina BartashevichEmail author
  • Welf Knors
  • Sanaz Mostaghim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11172)


This paper presents a Vector Field Benchmark (VFB) generator to study and evaluate the performance of collective search algorithms under the influence of unknown external dynamic environments. The VFB generator is inspired by nature (simulating wind or flow) and constructs artificially dynamic environments based on time-dependent vector fields with moving singularities (vortices). Some experiments using the Particle Swarm Optimization (PSO) algorithm, along with two specially developed updating mechanisms for the global knowledge about the external environment, are conducted to investigate the performance of the proposed benchmarks.


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Faculty of Computer ScienceUniversity of MagdeburgMagdeburgGermany

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