A multi-objective Artificial Bee Colony for optimizing multi-objective problems

This work proposes a multi-objective artificial bee colony (MOABC) for optimizing problems with multiple objectives. We have adapted the original Artificial Bee Colony (ABC) algorithm to multi objective problems with a grid-based approach for maintaining and adaptively assessing the Pareto front. Th...

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Vydané v:2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) Ročník 5; s. V5-277 - V5-281
Hlavní autori: Hedayatzadeh, Ramin, Hasanizadeh, Bahareh, Akbari, Reza, Ziarati, Koorush
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.08.2010
Predmet:
artificial bee colony
Benchmark testing
Lead
multi-objective optimization
ISBN:1424465397, 9781424465392
ISSN:2154-7491
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Abstract This work proposes a multi-objective artificial bee colony (MOABC) for optimizing problems with multiple objectives. We have adapted the original Artificial Bee Colony (ABC) algorithm to multi objective problems with a grid-based approach for maintaining and adaptively assessing the Pareto front. The Pareto set is used to control the flying behaviours of the individuals and structuring the bee colony. The proposed algorithm was evaluated upon numerical benchmark problems. Our experimental results indicate that the proposed approach is highly competitive compared to other algorithms considered in this work.
AbstractList This work proposes a multi-objective artificial bee colony (MOABC) for optimizing problems with multiple objectives. We have adapted the original Artificial Bee Colony (ABC) algorithm to multi objective problems with a grid-based approach for maintaining and adaptively assessing the Pareto front. The Pareto set is used to control the flying behaviours of the individuals and structuring the bee colony. The proposed algorithm was evaluated upon numerical benchmark problems. Our experimental results indicate that the proposed approach is highly competitive compared to other algorithms considered in this work.
Author Hedayatzadeh, Ramin
Hasanizadeh, Bahareh
Ziarati, Koorush
Akbari, Reza
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  givenname: Ramin
  surname: Hedayatzadeh
  fullname: Hedayatzadeh, Ramin
  email: rhedayatzade@gmail.com
  organization: Dept. of Inf. Technol., Shiraz Univ. of Technol., Shiraz, Iran
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  givenname: Bahareh
  surname: Hasanizadeh
  fullname: Hasanizadeh, Bahareh
  email: bahareh0902@yahoo.com
  organization: Dept. of Inf. Technol., Shiraz Univ. of Technol., Shiraz, Iran
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  givenname: Reza
  surname: Akbari
  fullname: Akbari, Reza
  organization: Dept. of Comput. Sci. & Eng., Shiraz Univ., Shiraz, Iran
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  givenname: Koorush
  surname: Ziarati
  fullname: Ziarati, Koorush
  email: ziarati@shirazu.ac.ir
  organization: Dept. of Comput. Sci. & Eng., Shiraz Univ., Shiraz, Iran
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Snippet This work proposes a multi-objective artificial bee colony (MOABC) for optimizing problems with multiple objectives. We have adapted the original Artificial...
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StartPage V5-277
SubjectTerms artificial bee colony
Benchmark testing
Lead
multi-objective optimization
Title A multi-objective Artificial Bee Colony for optimizing multi-objective problems
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