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al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.); Blackwell, Tim M. (2011)
Languages: English
Types: Article
Subjects:

Classified by OpenAIRE into

ACM Ref: ComputingMethodologies_MISCELLANEOUS
The integration of Swarm Intelligence (SI) algorithms and Evolutionary algorithms (EAs) might be one of the future approaches in the Evolutionary Computation (EC). This work narrates the early research on using Stochastic Diffusion Search (SDS) -- a swarm intelligence algorithm -- to empower the Differential Evolution (DE) -- an evolutionary algorithm -- over a set of optimisation problems. The results reported herein suggest that the powerful resource allocation mechanism deployed in SDS has the potential to improve the optimisation capability of the classical evolutionary algorithm used in this experiment. Different performance measures and statistical analyses were utilised to monitor the behaviour of the final coupled algorithm.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • al-Rifaie, M. M., Bishop, M., and Blackwell, T. (2011b). Resource allocation and dispensation impact of stochastic diffusion search on differential evolution algorithm; in nature inspired cooperative strategies for optimisation (NICSO 2011) proceedings. Studies in Computational Intelligence. Springer.
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