Zeng Wenhua
Multi-objective optimization of dependability attributes using an asynchronous heterogeneous hierarchical parallel genetic algorithm
Wenhua, Zeng; Papadopoulos, Yiannis; Parker, David
Authors
Professor Yiannis Papadopoulos Y.I.Papadopoulos@hull.ac.uk
Professor
Dr David Parker D.J.Parker@hull.ac.uk
Lecturer
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 Proceedings Volumes/ International Federation of Automatic Control, 41(3), 199-204. https://doi.org/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 |
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