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Reliability optimization using hybrid genetic and particle swarm optimization algorithm [PDF]
Redundancy-allocation problem i.e. RAP is among the reliability optimization problems which make use of non-linear programming method to improve the reliability of complex system.
Dahiya Tripti, Garg Deepika
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Robust Design Problem for Multi-Source Multi-Sink Flow Networks Based on Genetic Algorithm Approach
Robust design problems in flow networks involve determining the optimal capacity assignments that enable the network to operate effectively even in the case of events’ occurrence such as arcs or nodes’ failures.
Sahbi Boubaker +5 more
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Consistency Indices in Analytic Hierarchy Process: A Review
A well-regarded as well as powerful method named the ‘analytic hierarchy process’ (AHP) uses mathematics and psychology for making and analysing complex decisions. This article aims to present a brief review of the consistency measure of the judgments in
Sangeeta Pant +4 more
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The requirements of high reliability for hybrid systems are urgent for engineers to maximize the system reliability under the limited cost budget. The cost constraint importance measure (CIM) is an important tool to achieve the local optimal solution by ...
Jiangbin Zhao +4 more
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Target reliability of alternative fundamental combinations in Eurocode EN1990
In Eurocode EN1990 action effects in persistent and transient design situations for ULS checks are derived according to three different alternative expressions for combinations of actions, to be chosen in the National Annex for use in a country.
Croce Pietro +2 more
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An Overview of Few Nature Inspired Optimization Techniques and Its Reliability Applications [PDF]
Optimization has been a hot topic due to its inevitably in the development of new algorithms in almost every applied branch of Mathematics. Despite the broadness of optimization techniques in research fields, there is always an open scope of further ...
Nitin Uniyal, Sangeeta Pant, Anuj Kumar
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Novel Heuristic Algorithm & its Application for Reliability Optimization
Heuristic algorithms are practical, easy to implement, and work fast to provide short-term, feasible solutions for any kind of problem within economical budgets as compared to other meta-heuristic algorithms.
Tripti Dahiya +4 more
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On the Reliability of Inverse Optimal Control
Inverse Optimal Control (IOC) is a popular method for human motion analysis. In the context of these methods it is necessary to pay attention to the reliability of the results. This paper proposes an approach based on the evaluation of Karush-Kuhn-Tucker conditions relying on a complete analysis with Singular Value Decomposition and provides a detailed
Colombel, Jessica +2 more
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Modified Wild Horse Optimizer for Constrained System Reliability Optimization
The last few decades have witnessed advancements in intelligent metaheuristic approaches and system reliability optimization. The huge progress in metaheuristic approaches can be viewed as the main motivator behind further refinement in the system ...
Anuj Kumar +5 more
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Optimizing System Reliability in Additive Manufacturing Using Physics-Informed Machine Learning
Fused filament fabrication (FFF), an additive manufacturing process, is an emerging technology with issues in the uncertainty of mechanical properties and quality of printed parts. The consideration of all main and interaction effects when changing print
Sören Wenzel +2 more
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