al-Rifaie, Mohammad Majid ORCID: 0000-0002-1798-9615, Bishop, John Mark and Blackwell, Tim (2011) Resource allocation and dispensation impact of stochastic diffusion search on differential evolution algorithm. In: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011). Studies in Computational Intelligence, 387 . Springer, Berlin, Germany, pp. 21-40. ISBN 978-3642240935 ISSN 1860-949X (Print), 1860-9503 (Online) (doi:https://doi.org/10.1007/978-3-642-24094-2_2)

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Abstract

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.

Item Type:	Conference Proceedings
Title of Proceedings:	Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)
Uncontrolled Keywords:	hybrid algorithms, stochastic diffusion search, differential evolution, resource allocation
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:08
URI:	http://gala.gre.ac.uk/id/eprint/21042

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