Bacterial Colony Optimization

This paper investigates 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. c...

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Main Authors: Ben Niu, Hong Wang
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/698057
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author Ben Niu
Hong Wang
author_facet Ben Niu
Hong Wang
author_sort Ben Niu
collection DOAJ
description This paper investigates 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.
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institution Kabale University
issn 1026-0226
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publishDate 2012-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-d9ecec1084004950927646b6505fa7a92025-08-20T03:24:24ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/698057698057Bacterial Colony OptimizationBen Niu0Hong Wang1College of Management, Shenzhen University, Shenzhen 518060, ChinaCollege of Management, Shenzhen University, Shenzhen 518060, ChinaThis paper investigates 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.http://dx.doi.org/10.1155/2012/698057
spellingShingle Ben Niu
Hong Wang
Bacterial Colony Optimization
Discrete Dynamics in Nature and Society
title Bacterial Colony Optimization
title_full Bacterial Colony Optimization
title_fullStr Bacterial Colony Optimization
title_full_unstemmed Bacterial Colony Optimization
title_short Bacterial Colony Optimization
title_sort bacterial colony optimization
url http://dx.doi.org/10.1155/2012/698057
work_keys_str_mv AT benniu bacterialcolonyoptimization
AT hongwang bacterialcolonyoptimization