Table Of ContentNature-Inspired Computing
Paradigms in Systems
Nature-Inspired Computing
Paradigms in Systems
Reliability, Availability, Maintainability,
Safety and Cost (RAMS+C) and
Prognostics and Health
Management (PHM)
Edited by
Mohamed Arezki Mellal, Associate Professor,
Department of Mechanical Engineering,Faculty ofTechnology, M’Hamed Bougara University,
Boumerdes, Algeria
CALCE (Center for Advanced Life Cycle Engineering),University of Maryland,College Park, MD,
United States
Michael G. Pecht, Professor,
CALCE (Center ForAdvanced Life Cycle Engineering), University ofMaryland,
College Park, MD, United States
Series Editor: Fatos Xhafa
Universitat Polite`cnica de Catalunya, Spain
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Contributors
Roumaissa Boutiche
LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria
Nariman L. Dehghani
Risk Assessment and Management ofStructural and Infrastructure Systems (RAMSIS lab),
The OhioStateUniversity, Columbus, OH, United States
Mohammad Ali Farsi
Reliability and standardgroup, A&S Research Institute,Ministry ofScience,Researchand
Technology, Tehran, Iran
Abir Frik
LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria
IkramHamadache
LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria
Kai He
SchoolofEngineering Science,University of Science and Technologyof China, Hefei,China
Kasun Hewage
SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada
LisaJackson
Department of Aeronauticaland Automotive Engineering, LoughboroughUniversity,
Loughborough, UnitedKingdom
AmitKumar
DepartmentofInformationTechnology,RajkiyaEngineeringCollege,AmbedkarNagar,Akbarpur,
Uttar Pradesh,India
Lei Mao
SchoolofEngineering Science,University of Science and Technologyof China, Hefei,China
Mohamed Arezki Mellal
LMSS, Faculty ofTechnology, M’Hamed BougaraUniversity, Boumerdes, Algeria; Center
for Advanced Life Cycle Engineering(CALCE), University ofMaryland, College Park, MD,
UnitedStates
RachidOuache
SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada
RehanSadiq
SchoolofEngineering,University ofBritishColumbia,OkanaganCampus,Kelowna,BC,Canada
Laxminarayan Sahoo
Department of Computerand Information Science,Raiganj University, Raiganj,India
AbdollahShafieezadeh
Risk Assessment and Management ofStructural and Infrastructure Systems (RAMSIS lab),
The OhioStateUniversity, Columbus, OH, United States
ix
x Contributors
Amin MohammadpourShotorbani
SchoolofEngineering,University ofBritishColumbia,OkanaganCampus, Kelowna, BC,Canada
Qiang Wu
SchoolofEngineeringScience, University ofScience and TechnologyofChina,Hefei, China
ChiZhang
Risk Assessment and Management ofStructuraland Infrastructure Systems (RAMSIS lab),
The Ohio State University, Columbus, OH, UnitedStates
Editor biographies
Mohamed Arezki Mellal is an associate professor at the Department of Mechanical Engineering,
Faculty of Technology, M’Hamed Bougara University, Algeria, and a visiting scholar at the Center
for Advanced Life Cycle Engineering, Department of Mechanical Engineering, University of
Maryland,CollegePark,MD,UnitedStates.Likewise,hewasavisitingscholaratvariousuniversities.
He has published in several journals and conference proceedings. He has edited five books and
authoredsevenbookchapters.HeisamemberoftheAlgerianNationalLaboratoryforMaintenance
EducationinconjunctionwiththeEuropeanUnion(Erasmus+).Hehasalsobeenacommitteemember
formorethan70internationalconferences.Heservesasaregularreviewerfor18SCI-indexedjournals
andaneditorialboardmemberin7peer-reviewedinternationaljournals.Hisresearchinterestsinclude
developingnewbioinspiredoptimizationmethodsforsolvingengineeringproblemsofsystemdepend-
ability,manufacturing, and energyefficiency.
Michael G. Pecht (30,000+ citations, 80+ H-Index) has a BS in physics, an MS in electrical
engineering, and an MS and PhD in engineering mechanics from the University of Wisconsin. He
isaprofessionalengineer,anIEEEfellow,aPHMSocietylifefellow,anASMEfellow,anASMfel-
low,anSAEfellow,andanIMAPSfellow.HeservedaseditorinchiefofIEEEAccessfor6years,as
editor in chief of IEEE Transactions on Reliability for 9years, editor in chief of Microelectronics
Reliabilityfor16years,andeditorofCircuitWorld.HehasalsoservedonthreeUSNationalAcademy
ofSciencestudies,twoUSCongressionalinvestigationsinautomotivesafety,andasanexperttothe
USFDA.HeistheDirectorofCenterforAdvancedLifeCycleEngineering(CALCE)attheUniversity
ofMaryland(UMd),whichisfundedbymorethan150world’sleadingelectronicscompaniesatmore
thanUS$6M/year.HeisalsoaprofessorinappliedmathematicsatUMD.In2008,hewasawardedthe
highest reliability honor, the IEEE Reliability Society’s Lifetime Achievement Award. In 2010, he
received the IEEE Exceptional Technical Achievement Award for his innovations in the area of
prognostics and systemshealthmanagement.
xi
Preface
Nowadays,competitivenessinallindustrialsectorsisduetothenumberofcompaniesandtherequire-
mentsofregulationsandusers.Industrialcompaniesfocusondevelopmentandacquisitionofsystems
withahighlevelofdependability.However,itinvolvesmanychallenges.Duringthelastdecades,var-
ioussolutiontechniqueshavebeenproposedtodealwiththesechallenges.Nature-inspiredcomputing
techniqueshaveprovedtheireffectivenessinsolvinghardengineeringproblems.Thepresentworkis
part of nature-inspired paradigms in systems—RAMS+C (Reliability, Availability, Maintainability,
Safety, and Cost) &PHM (Prognostics andHealthManagement).
Thebookisdividedintoeightchapters.Chapter1dealswiththereliabilityoptimizationofasafety
systeminthepowerplantusinggraywolfoptimizerandtheshuffledflog-leapingalgorithm.Chapter2
addressesthedesignoptimizationofthecarsidesafetysystemusingparticleswarmoptimizationand
graywolfoptimizer.Chapter3presentsthebasicprinciplesofgeneticalgorithmanditsapplicationin
RAMS.Chapter4usesevolutionaryoptimizationforresilience-basedplanninginpowerdistribution
networks.Chapter5presentsareviewoftheapplicationofnature-inspiredcomputinginoptimalde-
sign.Chapter6usesartificialneuralnetworksandgeneticalgorithmsforfiresafetystrategiesassess-
ment. Chapter 7 applies artificial neural networks to proton exchange. Finally, Chapter 8 addresses
reliability redundancy allocation problems with uncertainties using genetic algorithms and dual-
connection numbers.
Thisbookcanbeusedbyresearchers,students,engineers,industrialcompanies,oranypersonin-
terestedinnature-inspiredcomputation and RAMS+C &PHM.
Mohamed Arezki Mellal
MichaelG.Pecht
xiii
Acknowledgment
Theeditorswould like tothankthe following reviewers:
FaustoPedroGarc´ıaMa´rquez
Universidad Castilla-LaMancha, Spain
HarishGarg
ThaparInstituteof EngineeringandTechnology, India
Payman Dehghanian
George Washington University, United States
Sameer Al-Dahidi
German JordanianUniversity, Jordan
Wei Wang
City University of Hong Kong,Hong Kong
xv
CHAPTER
1
Reliability optimization of power
plant safety system using grey wolf
optimizer and shuffled frog-leaping
algorithm
Mohamed Arezki Mellala,b,Abir Frika,and Roumaissa Boutichea
LMSS,FacultyofTechnology,M’HamedBougaraUniversity,Boumerdes,AlgeriaaCenterforAdvancedLifeCycle
Engineering(CALCE),UniversityofMaryland,CollegePark,MD,UnitedStatesb
1. Introduction
Theworldiswitnessinggreatindustrialdevelopmentsinwhichtheneedforhigh-leveloperatingfa-
cilitiesleadstogreatcompetition.Inthiscontext,thedesignersmustdevotetheireffortstoincreasethe
reliabilityofthesystemstoincreasetheoverallreliabilityofthefacilities.Themostcommondesign
objectivesare(1)themaximizationofthesystemreliabilityundertheallowablesystemcostandother
designlimits,suchastheweightandvolume;(2)theminimizationofthesystemcostundertheallow-
ablesystemreliabilityandtheotherdesignlimitsforthesingle-objectivereliabilityoptimizationprob-
lems (ROPs); or (3) a combination of considerations, such as system reliability and cost for the
multiobjective ROPs.Systemreliabilitycouldbe improvedusing three main methods:
1. Redundancy allocation:addredundant components inparallel. This method could be employed
usingactiveorstandbycomponents.Ifthestandbyredundantcomponentscannotfailuntiltheyare
switchedon,thenitiscalledcold-standbystrategy[1,2].Ifthestandbyredundantcomponentscan
failwhentheyareswitchedoffandhavelowerfailureratesthantheactivecomponents,itiscalled
warm-standbystrategy.Insomereferences,theactivecomponentredundancystrategyiscalledhot-
standby strategy [3,4].
2. Reliability allocation: allocate reliabilitytothe components and/or subsystems ofthe system to
meet the overall required system reliability.
3. Reliability-redundancy allocation: a combinationof the allocations1 and 2.
Thischapterfocusesonthesingle-objectiveROPs.Thereliability-redundancyoptimizationproblemof
apowerplantsafetysystemisaddressedusingthegreywolfoptimizer(GWO)andtheshuffledfrog-
leapingalgorithm(SFLA).Itisorganizedasfollows:Section2givesaliteraturereviewofsomepre-
vious works related to the ROPs. Section 3 presents the ROP of the investigated power plant safety
1
Nature-InspiredComputingParadigmsinSystems.https://doi.org/10.1016/B978-0-12-823749-6.00008-8
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