Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)

Volume 387 of the series Studies in Computational Intelligence pp 21-40

Resource Allocation and Dispensation Impact of Stochastic Diffusion Search on Differential Evolution Algorithm

  • Mohammad Majid al-RifaieAffiliated withGoldsmiths, University of London
  • , John Mark BishopAffiliated withGoldsmiths, University of London
  • , Tim BlackwellAffiliated withGoldsmiths, University of London

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This work details early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Differential Evolution (DE), effectively merging a nature inspired swarm intelligence algorithm with a biologically inspired evolutionary algorithm. The results reported herein suggest that the hybrid algorithm, exploiting information sharing between the population, has the potential to improve the optimisation capability of classical DE.