Bacterial colony optimization
type: Item
instance of: scholarly article
title: Bacterial colony optimization
zbMATH Open document ID: 1253.90219
DOI: 10.1155/2012/698057
author: Ben Niu
author: Hong Wang
published in: Discrete Dynamics in Nature and Society
publication date: 2012-12-18T00:00:00Z
review text: Summary: We investigate the behaviors at different developmental stages in Escherichia coli (E. coli) lifecycle and developing a new biologically inspired optimization algorithm named bacterial colony optimization (BCO). BCO is based on a lifecycle model that simulates some typical behaviors of E. coli bacteria during their whole lifecycle, including chemotaxis, communication, elimination, reproduction, and migration. A newly created chemotaxis strategy combined with communication mechanism is developed to simplify the bacterial optimization, which is spread over the whole optimization process. However, the other behaviors such as elimination, reproduction, and migration are implemented only when the given conditions are satisfied. Two types of interactive communication schemas: individuals exchange schema and group exchange schema are designed to improve the optimization efficiency. In the simulation studies, a set of 12 benchmark functions belonging to three classes (unimodal, multimodal, and rotated problems) are performed, and the performances of the proposed algorithms are compared with five recent evolutionary algorithms to demonstrate the superiority of BCO.
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6116516
zbMATH Keywords: bacterial colony optimization
Wikidata QID: Q58700718
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/698057
OpenAlex ID: W2051314441
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description: scientific article; zbMATH DE number 6116516