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An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search

al-Rifaie, Mohammad Majid; Bishop, Mark (J. M.) and Blackwell, Tim M.. 2011. An Investigation Into the use of Swarm Intelligence for an Evolutionary Algorithm Optimisation; The Optimisation Performance of Differential Evolution Algorithm Coupled with Stochastic Diffusion Search. International Conference on Evolutionary Computation Theory and Application (ECTA 2011)(3), pp. 1-6. [Article]

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Abstract or Description

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.

Item Type: Article

Keywords:

stochastic diffusion search, differential evolution, evolutionary computation, swarm intelligence, metaheuristics

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
2011Published

Item ID:

6894

Date Deposited:

30 Apr 2012 10:48

Last Modified:

06 Jun 2016 13:30

URI: http://research.gold.ac.uk/id/eprint/6894

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