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

Wenhua, Zeng; Papadopoulos, Yiannis; Parker, David

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