Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Liverpool
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Article title
Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior
Type
D - Journal article
Title of journal
IEEE Transactions on Evolutionary Computation
Article number
-
Volume number
13
Issue number
5
First page of article
973
ISSN of journal
1941-0026
Year of publication
2009
URL
-
Number of additional authors
2
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
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-