An adaptive bio-inspired optimisation model based on the foraging behaviour of a social spider

Simple item page
dc.contributor.authorotor, samera
dc.contributor.authorakinyemi, bodunde
dc.contributor.authoraladesanmi, temitope
dc.contributor.authoraderounmu, ganiyu
dc.date.accessioned2023-05-13T18:02:08Z
dc.date.available2023-05-13T18:02:08Z
dc.date.issued2019-11
dc.descriptionCogent Engineering, Vol. 6: 1588681en_US
dc.description.abstractExisting bio-inspired models are challenged with premature convergence among others.In this paper,an adaptive social spider colony optimization model based on the foraging behaviour of social spider was proposed as an optimisation problem. The algorithm mimics the prey capture behaviour of the social spider in which, the spider senses the presence of the prey through vibrations transmitted along the web thread. Spiders are the search agents while the web is the search space of the optimization problem.The natural or biological phenomenon of vibration was modeled using wave theory while optimization theory was considered in optimizing the objective function of the optimisation problem. This objective function was considered to be the frequency of vibration of the spiders and the prey as this is the function that enables the spider differentiates the vibration of the prey from that of neighbouring spider sand therefore forages maximally. To address the parameter tuning problem, the searchpatternwascontrolledbythepositionofthepreyforconvergence.The proposed model was tested for convergence using several benchmark functions with different characteristics to evaluate its performance and results compared to an existing state of the arts’ spider algorithm. Results showed that the proposed model performed better by searching the optimum solution of the benchmark functions used to test the modelen_US
dc.identifier.urihttps://ir.oauife.edu.ng/123456789/5615
dc.language.isoenen_US
dc.publishercogent OAen_US
dc.subjectlgorithms & Complexity; Computing & IT Security; Computer Science; General Keywords: bio-inspired; optimisation; social spider; self-evolvingen_US
dc.titleAn adaptive bio-inspired optimisation model based on the foraging behaviour of a social spideren_US
dc.typeJournalen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Anadaptivebioinspiredoptimisationmodelbasedontheforagingbehaviourofasocialspider (4).pdf
Size:
1.9 MB
Format:
Adobe Portable Document Format
Description:
JOURNAL ARTICLE
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Journal Articles