An Ant Colony Optimization Algorithm for the Redundancy Allocation Problem (RAP)

Liang, Yun-Chia; Smith, Alice E.

doi:10.1109/tr.2004.832816

Cited by 333 publications

(116 citation statements)

References 26 publications

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“…tabu search [KS1], ant colonies [LS1], and simulated annealing [KB1]. In the MAENAD project, we have chosen another prominent approach based on genetic algorithms.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Automatic optimisation of system architectures using EAST-ADL

Walker

Reiser

Tucci-Piergiovanni

et al. 2013

Journal of Systems and Software

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“…tabu search [KS1], ant colonies [LS1], and simulated annealing [KB1]. In the MAENAD project, we have chosen another prominent approach based on genetic algorithms.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Automatic optimisation of system architectures using EAST-ADL

Walker

Reiser

Tucci-Piergiovanni

et al. 2013

Journal of Systems and Software

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“…This problem is a mixed-integer non-linear programming problem. It can be solved using a genetic algorithm [11], ant colony optimization [12], particle swarm optimization [13], or other optimization techniques. Solving this problem will be computationally economic since the system resilience function Ψ can be analytically expressed in terms of the target component reliability vector r t , the component-PHM efficiency vector λ t and the target component-redundancy vector m. The proposed RAP incorporates the PHM efficiency in design, where the reliability allocation can be considered as one special case in which PHM efficiencies for all components equal zero.…”

Section: Problem Formulationmentioning

confidence: 99%

Resilience Allocation for Resilient Engineered System Design

Youn¹,

Hu²,

Wang³

et al. 2011

Journal of Institute of Control, Robotics and Systems

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Most engineered systems are designed with high levels of system redundancies to satisfy required reliability requirements under adverse events, resulting in high systems' LCCs (Life-Cycle Costs). Recent years have seen a surge of interest and tremendous advance in PHM (Prognostics and Health Management) methods that detect, diagnose, and predict the effects of adverse events. The PHM methods enable proactive maintenance decisions, giving rise to adaptive reliability. In this paper, we present a RAP (Resilience Allocation Problem) whose goal is to allocate reliability and PHM efficiency to components in an engineering context. The optimally allocated reliability and PHM efficiency levels serve as the design specifications for the system RBDO (Reliability-Based Design Optimization) and the system PHM design, which can be used to derive the detailed design of components and PHM units. The RAP is demonstrated using a simplified aircraft control actuator design problem resulting in a highly resilient actuator with optimally allocated reliability, PHM efficiency and redundancy for the given parameter settings.

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“…The usefulness of this optimization technique is especially powerful in distributed problems like (Sim & Sun (2003), Ahuja & Pahwa (2005), Premprayoon & Wardkein (2005)) and (Liang & Smith (2004)). This algorithm is based on the behavior of ant colonies when they are looking for food and storing it in their nests.…”

Section: Algorithm Descriptionmentioning

confidence: 99%