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Resource allocation and dispensation impact of stochastic diffusion search on differential evolution algorithm

Resource allocation and dispensation impact of stochastic diffusion search on differential evolution algorithm

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 / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Last Modified: 21 Jul 2021 21:49
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/21042

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