A reliability optimization allocation method for multifunctional systems using new hybrid particle swarm optimization

Liang, Qihai; Dong, Haiping; Yi, Xiaojian; Qin, Bin; Yang, Xiaoyu

doi:10.1109/icrms.2016.8050064

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…In 1968 the detailed method to handle RAP was presented, which was planned for the decision of the ideal course of action. 3 After this, some researchers proposed various techniques to address RAP in which the exact methods were carried out at first which were long processing methods [4][5][6][7] and later on heuristic strategies like GA, PSO, hybrid GA-PSO, hybrid PSO, Cuckoo Search, GWO and so on taken into consideration [8][9][10][11][12][13] . These heuristic strategies were giving approximated outcomes in very little time when contrasted with exact methods.…”

Section: Introductionmentioning

confidence: 99%

Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem

Bhandari

Kumar

Ram

2023

Quality & Reliability Eng

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Analysis and optimization of system reliability have very much importance for developing an optimal design for the system while using the available resources. Several studies are centered towards reliability optimization using metaheuristics. In this study, a recently developed metaheuristic optimization algorithm called hybrid PSO-GWO (HPSGWO) to solve the reliability-redundancy optimization problem has been proposed. The HPSGWO fuses the Particle Swarm Optimization's (PSO) exploitation ability with the grey wolf optimizer's (GWO) exploration ability. The comparison of results with prior best results of PSO and GWO for the four benchmarks of reliability redundancy allocation problem demonstrates the HPSGWO as a productive enhancement strategy since it got promising answers than other metaheuristic algorithms.

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Section: Introductionmentioning

confidence: 99%

Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem

Bhandari

Kumar

Ram

2023

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

“…In 1968 the specified procedure to handle RAP was portrayed, which was planned for the decision of optimal course of action [2]. After this, a few researchers proposed different procedures to address RAP in which the exact methods were done at first which were long handling techniques [3]- [6] and later heuristic methodologies like GA, PSO, hybrid GA-PSO, hybrid PSO were considered [7]- [10]. These heuristic methodologies were giving approximated results in almost no time when stood out from exact methods.…”

Section: Introductionmentioning

confidence: 99%

Reliability Redundancy Allocation for Fire Extinguisher Drone using Hybrid PSO-GWO

Bhandari

Kumar

Ram

2023

Preprint

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Reliability Redundancy Allocation Problem (RRAP) plays a vital role in reliability improvement and designing of any system which depends on the arrangement of components i.e., series, parallel, or complex, reliability of the components, and redundancy allocation for the components. In this work, a Fire Extinguisher Drone (FED) is considered for RRAP. The FEDs are very valuable for firefighters in tackling emergencies in non-reachable areas. To maximize the reliability of FED a non-linear mixed integer programming problem is formulated and optimized using the Hybrid Particle Swarm Grey Wolf Optimizer (HPSGWO). This metaheuristic fuses the Particle Swarm Optimization’s (PSO) exploitation ability with the grey wolf optimizer’s (GWO) exploration ability. With constraints such as cost, weight, and volume for the system, different levels of redundancies are applied to get the best redundancy allocation that maximizes the reliability of FED. Also, the results are of HPSGWO for each allocation are compared with the results of GWO, which clearly explains the superiority of the HPSGWO over GWO as well as PSO.

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Reliability optimization and redundancy allocation for fire extinguisher drone using hybrid PSO–GWO

2023

View full text Add to dashboard Cite

A reliability optimization allocation method for multifunctional systems using new hybrid particle swarm optimization

Cited by 4 publications

References 9 publications

Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem

Grey wolf optimizer and hybrid PSO‐GWO for reliability optimization and redundancy allocation problem

Reliability Redundancy Allocation for Fire Extinguisher Drone using Hybrid PSO-GWO

Reliability optimization and redundancy allocation for fire extinguisher drone using hybrid PSO–GWO

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