An adaptive bio-inspired optimisation model based on the foraging behaviour of a social spider-Reference-Cited by-同舟云学术

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

Published:2019-01-01 Issue:1 Volume:6 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Otor Samera Uga¹,Akinyemi Bodunde Odunola²^ORCID,Aladesanmi Temitope Adegboye³,Aderounmu Ganiyu Adesola²,Kamagaté B.H.⁴

Affiliation:

1. Department of Computer Science, Benue State University, Makurdi, Benue State, Nigeria

2. Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria

3. INTECU, Obafemi Awolowo University, Ile-Ife, Nigeria

4. Laboratoire LARIT, Cocody Danga, Abidjan, Cote D’Ivoire

Funder

Africa Centre of Excellence, OAU ICT-Driven Knowledge Park.

Tertiary Education Trust Fund

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.cogentoa.com/article/10.1080/23311916.2019.1588681.pdf

Reference35 articles.

1. Abbass, H. A. (2001). MBO: Marriage in honey bees optimization a haplometrosis polygynous swarm approach. In: Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No. 01TH8546) Seoul, South Korea. 207–18. doi: 10.1109/CEC.2001.934391.

2. Honey-bee mating optimization (HBMO) algorithm for optimal reservoir operation

3. Physical Constraints on Group Foraging and Social Evolution: Observations on Web-Spinning Spiders

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