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Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm

Wenhua, Zeng; Papadopoulos, Yiannis; Parker, David

Authors

Zeng Wenhua



Abstract

The optimal satisfaction of dependability attributes and cost, in the design of engineering systems, is a hard multi-objective optimization problem which requires automated algorithms that can effectively search large design spaces. In this paper, a recently proposed Asynchronous Heterogeneous Hierarchical Parallel Genetic Algorithm (AHHPGA) is extended with multi-objective optimization capabilities and applied to a particular, benchmark, redundancy allocation formulation of the problem that takes into account the reliability, cost and weight of a system. A new model-based safety and reliability evaluation technique is also employed to overcome the limitations imposed by the use of Reliability Block Diagrams in earlier work.

Journal Article Type Article
Publication Date 2008
Print ISSN 1474-6670
Publisher Elsevier
Volume 41
Issue 3
Pages 199-204
ISBN 978-3-902661-40-1
APA6 Citation Wenhua, Z., Papadopoulos, Y., & Parker, D. (2008). Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm. IFAC postprint volumes IPPV / International Federation of Automatic Control, 41(3), 199-204. doi:10.3182/20081205-2-cl-4009.00036
DOI https://doi.org/10.3182/20081205-2-cl-4009.00036
Keywords Genetic algorithms; Multiobjective optimizations; Reliability; Safety
Publisher URL https://www.sciencedirect.com/science/article/pii/S1474667015355658?via%3Dihub
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