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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.

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

Journal Article Type Article
Acceptance Date Oct 9, 2008
Online Publication Date Apr 21, 2016
Publication Date 2008
Print ISSN 1474-6670
Publisher Elsevier
Volume 41
Issue 3
Pages 199-204
ISBN 978-3-902661-40-1
DOI https://doi.org/10.3182/20081205-2-cl-4009.00036
Keywords Genetic algorithms; Multiobjective optimizations; Reliability; Safety
Public URL https://hull-repository.worktribe.com/output/405581
Publisher URL https://www.sciencedirect.com/science/article/pii/S1474667015355658?via%3Dihub