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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Liverpool

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Output 31 of 76 in the submission

Article title

Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior

Type

D - Journal article

DOI

10.1109/TEVC.2009.2011992

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

Issue number

First page of article

973

ISSN of journal

1941-0026

Year of publication

2009

URL

Number of additional authors

Additional information

The paper presents a Group Search Optimizer based on the study of animal group living theory, including the behaviour of producers, scroungers and rangers, and it shows significant advantages over conventional algorithms. The work was a collaboration of engineers and biologists at Liverpool. The paper has impacted several research areas of power grids and structural engineering worldwide (see Li & Liu, Springer, ISBN 978-3-642-20536-1).

Interdisciplinary

Cross-referral requested

Research group

None

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract