Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization

Henrik Madsen; Grigore Albeanu; Bernard Burtschy; Florin Popentiu-Vladicescu

Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization

Henrik Madsen
, Grigore Albeanu
, Bernard Burtschy
, Florin Popentiu-Vladicescu

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Non-traditional search and optimization methods based on natural phenomena have been proposed recently in order to avoid local or unstable behavior when run towards an optimum state. This paper describes the principles of bio inspired algorithms and reports on Migration Algorithms and Bees Algorithms as good candidates to solve multiobjective optimization problems. A general framework for reliability optimization is formulated and applied to investigate classical and intuitionistic-fuzzy reliability optimization problems. The meta-algorithm proved good performance for large size problems with a reasonable time for tuning of initial parameters.

Original language	English
Title of host publication	Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014)
Publication date	2014
Pages	1-5
Article number	2001
Publication status	Published - 2014
Event	20th ISSAT International Conference on Reliability and Quality in Design - Seattle, United States Duration: 7 Aug 2014 → 9 Aug 2014 Conference number: 20

Conference

Conference	20th ISSAT International Conference on Reliability and Quality in Design
Number	20
Country/Territory	United States
City	Seattle
Period	07/08/2014 → 09/08/2014

Keywords

Single/multi-objective optimization
Evolution strategies
Social behavior

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title = "Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization",

abstract = "Non-traditional search and optimization methods based on natural phenomena have been proposed recently in order to avoid local or unstable behavior when run towards an optimum state. This paper describes the principles of bio inspired algorithms and reports on Migration Algorithms and Bees Algorithms as good candidates to solve multiobjective optimization problems. A general framework for reliability optimization is formulated and applied to investigate classical and intuitionistic-fuzzy reliability optimization problems. The meta-algorithm proved good performance for large size problems with a reasonable time for tuning of initial parameters.",

keywords = "Single/multi-objective optimization, Evolution strategies, Social behavior",

author = "Henrik Madsen and Grigore Albeanu and Bernard Burtschy and Florin Popentiu-Vladicescu",

year = "2014",

language = "English",

pages = "1--5",

booktitle = "Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014)",

note = "20th ISSAT International Conference on Reliability and Quality in Design, RQD2014 ; Conference date: 07-08-2014 Through 09-08-2014",

}

Madsen, H, Albeanu, G, Burtschy, B & Popentiu-Vladicescu, F 2014, Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization. in Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014)., 2001, pp. 1-5, 20th ISSAT International Conference on Reliability and Quality in Design, Seattle, Washington, United States, 07/08/2014.

Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization. / Madsen, Henrik; Albeanu, Grigore; Burtschy, Bernard et al.
Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014). 2014. p. 1-5 2001.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization

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AU - Albeanu, Grigore

AU - Burtschy, Bernard

AU - Popentiu-Vladicescu, Florin

N1 - Conference code: 20

PY - 2014

Y1 - 2014

N2 - Non-traditional search and optimization methods based on natural phenomena have been proposed recently in order to avoid local or unstable behavior when run towards an optimum state. This paper describes the principles of bio inspired algorithms and reports on Migration Algorithms and Bees Algorithms as good candidates to solve multiobjective optimization problems. A general framework for reliability optimization is formulated and applied to investigate classical and intuitionistic-fuzzy reliability optimization problems. The meta-algorithm proved good performance for large size problems with a reasonable time for tuning of initial parameters.

AB - Non-traditional search and optimization methods based on natural phenomena have been proposed recently in order to avoid local or unstable behavior when run towards an optimum state. This paper describes the principles of bio inspired algorithms and reports on Migration Algorithms and Bees Algorithms as good candidates to solve multiobjective optimization problems. A general framework for reliability optimization is formulated and applied to investigate classical and intuitionistic-fuzzy reliability optimization problems. The meta-algorithm proved good performance for large size problems with a reasonable time for tuning of initial parameters.

KW - Single/multi-objective optimization

KW - Evolution strategies

KW - Social behavior

M3 - Article in proceedings

SP - 1

EP - 5

BT - Proceedings of the 20th ISSAT International Conference on Reliability and Quality in Design (RQD 2014)

T2 - 20th ISSAT International Conference on Reliability and Quality in Design

Y2 - 7 August 2014 through 9 August 2014

ER -

Bio Inspired Algorithms in Single and Multiobjective Reliability Optimization

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Keywords

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