Metaheuristics and Optimization in Computer and Electrical Engineering PDF
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Lecture Notes in Electrical Engineering 696 Navid Razmjooy Mohsen Ashourian Zahra Foroozandeh Editors Metaheuristics and Optimization in Computer and Electrical Engineering Lecture Notes in Electrical Engineering Volume 696 SeriesEditors LeopoldoAngrisani,DepartmentofElectricalandInformationTechnologiesEngineering,UniversityofNapoli FedericoII,Naples,Italy MarcoArteaga,DepartamentdeControlyRobótica,UniversidadNacionalAutónomadeMéxico,Coyoacán, Mexico BijayaKetanPanigrahi,ElectricalEngineering,IndianInstituteofTechnologyDelhi,NewDelhi,Delhi,India SamarjitChakraborty,FakultätfürElektrotechnikundInformationstechnik,TUMünchen,Munich,Germany JimingChen,ZhejiangUniversity,Hangzhou,Zhejiang,China ShanbenChen,MaterialsScienceandEngineering,ShanghaiJiaoTongUniversity,Shanghai,China TanKayChen,DepartmentofElectricalandComputerEngineering,NationalUniversityofSingapore, Singapore,Singapore RüdigerDillmann,HumanoidsandIntelligentSystemsLaboratory,KarlsruheInstituteforTechnology, Karlsruhe,Germany HaibinDuan,BeijingUniversityofAeronauticsandAstronautics,Beijing,China GianluigiFerrari,UniversitàdiParma,Parma,Italy ManuelFerre,CentreforAutomationandRoboticsCAR(UPM-CSIC),UniversidadPolitécnicadeMadrid, Madrid,Spain SandraHirche,DepartmentofElectricalEngineeringandInformationScience,TechnischeUniversität München,Munich,Germany FaryarJabbari,DepartmentofMechanicalandAerospaceEngineering,UniversityofCalifornia,Irvine,CA, USA LiminJia,StateKeyLaboratoryofRailTrafficControlandSafety,BeijingJiaotongUniversity,Beijing,China JanuszKacprzyk,SystemsResearchInstitute,PolishAcademyofSciences,Warsaw,Poland AlaaKhamis,GermanUniversityinEgyptElTagamoaElKhames,NewCairoCity,Egypt TorstenKroeger,StanfordUniversity,Stanford,CA,USA QilianLiang,DepartmentofElectricalEngineering,UniversityofTexasatArlington,Arlington,TX,USA FerranMartín,Departamentd’EnginyeriaElectrònica,UniversitatAutònomadeBarcelona,Bellaterra, Barcelona,Spain TanCherMing,CollegeofEngineering,NanyangTechnologicalUniversity,Singapore,Singapore WolfgangMinker,InstituteofInformationTechnology,UniversityofUlm,Ulm,Germany PradeepMisra,DepartmentofElectricalEngineering,WrightStateUniversity,Dayton,OH,USA SebastianMöller,QualityandUsabilityLaboratory,TUBerlin,Berlin,Germany SubhasMukhopadhyay,SchoolofEngineering&AdvancedTechnology,MasseyUniversity, PalmerstonNorth,Manawatu-Wanganui,NewZealand Cun-ZhengNing,ElectricalEngineering,ArizonaStateUniversity,Tempe,AZ,USA ToyoakiNishida,GraduateSchoolofInformatics,KyotoUniversity,Kyoto,Japan FedericaPascucci,DipartimentodiIngegneria,UniversitàdegliStudi“RomaTre”,Rome,Italy YongQin,StateKeyLaboratoryofRailTrafficControlandSafety,BeijingJiaotongUniversity,Beijing,China GanWoonSeng,SchoolofElectrical&ElectronicEngineering,NanyangTechnologicalUniversity, Singapore,Singapore JoachimSpeidel,InstituteofTelecommunications,UniversitätStuttgart,Stuttgart,Germany GermanoVeiga,CampusdaFEUP,INESCPorto,Porto,Portugal HaitaoWu,AcademyofOpto-electronics,ChineseAcademyofSciences,Beijing,China JunjieJamesZhang,Charlotte,NC,USA The book series Lecture Notes in Electrical Engineering (LNEE) publishes the latest developments in Electrical Engineering - quickly, informally and in high quality. While original research reported in proceedings and monographs has traditionallyformedthecoreofLNEE,wealsoencourageauthorstosubmitbooks devoted to supporting student education and professional training in the various fieldsandapplicationsareasofelectricalengineering.Theseriescoverclassicaland emerging topics concerning: (cid:129) Communication Engineering, Information Theory and Networks (cid:129) Electronics Engineering and Microelectronics (cid:129) Signal, Image and Speech Processing (cid:129) Wireless and Mobile Communication (cid:129) Circuits and Systems (cid:129) Energy Systems, Power Electronics and Electrical Machines (cid:129) Electro-optical Engineering (cid:129) Instrumentation Engineering (cid:129) Avionics Engineering (cid:129) Control Systems (cid:129) Internet-of-Things and Cybersecurity (cid:129) Biomedical Devices, MEMS and NEMS For general information about this book series, comments or suggestions, please contact [email protected]. To submit a proposal or request further information, please contact the Publishing Editor in your country: China Jasmine Dou, Associate Editor ([email protected]) India, Japan, Rest of Asia Swati Meherishi, Executive Editor ([email protected]) Southeast Asia, Australia, New Zealand Ramesh Nath Premnath, Editor ([email protected]) USA, Canada: Michael Luby, Senior Editor ([email protected]) All other Countries: Leontina Di Cecco, Senior Editor ([email protected]) ** Indexing: Indexed by Scopus. ** More information about this series at http://www.springer.com/series/7818 Navid Razmjooy Mohsen Ashourian (cid:129) (cid:129) Zahra Foroozandeh Editors Metaheuristics and Optimization in Computer and Electrical Engineering 123 Editors NavidRazmjooy MohsenAshourian Tafresh University Department ofElectrical Engineering Tafresh,Iran Islamic AzadUniversity (IAU) MajlesiBranch Zahra Foroozandeh Isfahan, Iran Faculty of Engineering University of Porto Porto, Portugal ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notesin Electrical Engineering ISBN978-3-030-56688-3 ISBN978-3-030-56689-0 (eBook) https://doi.org/10.1007/978-3-030-56689-0 ©SpringerNatureSwitzerlandAG2021 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpart of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission orinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilar methodologynowknownorhereafterdeveloped. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publicationdoesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfrom therelevantprotectivelawsandregulationsandthereforefreeforgeneraluse. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained hereinorforanyerrorsoromissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregard tojurisdictionalclaimsinpublishedmapsandinstitutionalaffiliations. ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface Optimization is an important and decisive activity in science and engineering. Engineers will be able to produce better designs when they can save time and decrease the problem complexity with optimization methods. Many engineering optimization problems are naturally more complex and difficult to solve by con- ventional optimization methods such as dynamic programming. In recent years, moreattentionhasbeenpaidtoinnovativemethods derivedfromthenaturethatis inspired bythesocialorthenaturalsystems,whichhaveyieldedverygoodresults in solving complex optimization problems. Metaheuristic algorithms are a type of random algorithm which is used to find the optimal solutions. Metaheuristic algorithms are able to find good (near-optimal) solutions for complicated opti- mizationproblemsinashorttime.Metaheuristicsareoneoftheapproximatetypes ofoptimizationalgorithmsthatcanbetterescapefromthelocaloptimumpointsand can be used in a wide range of problems in engineering. Recently, several categories of metaheuristic algorithms have been developed. To date, there has been no clear and comprehensive definition of the term meta- heuristic,andvariousdefinitionshavebeenproposedforthisterm.Butinshort,the main characteristics of metaheuristic methods can be expressed as follows: (cid:129) Themainpurposeofthesemethodsistoeffectivelyandefficientlysearchforthe solution space instead of simply finding the optimal or near-optimal solutions. (cid:129) Metaheuristic algorithms are policies and strategies that guide the search process. (cid:129) Metaheuristic algorithms give approximate and often random solutions. (cid:129) These methods may use mechanisms to prevent the search process from being trapped in local optimizations. (cid:129) Metaheuristic algorithms are not dependent on the type of problem; in other words, they can be used to solve a wide range of optimization problems. v vi Preface In short, it can be said that metaheuristic algorithms are advanced and general search strategies and suggest steps and criteria that are very effective in escaping fromthetrapoflocaloptimizations.Therefore,themaincontributionofthisbookis to indicate the advantages and importance of metaheuristics in computer and electrical engineering applications. Tafresh, Iran Navid Razmjooy Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Navid Razmjooy Jaya Algorithm and Applications: A Comprehensive Review. . . . . . . . . 3 Essam H. Houssein, Ahmed G. Gad, and Yaser M. Wazery WorldCupOptimizationAlgorithm:ApplicationforOptimalControl of Pitch Angle in Hybrid Renewable PV/Wind Energy System . . . . . . . 25 Navid Razmjooy, Vania V. Estrela, Reinaldo Padilha, and Ana Carolina Borges Monteiro Optimization Techniques in Intelligent Transportation Systems. . . . . . . 49 Mehdi Ghatee LowPowerHilbertTransformerDesignUsingMulti-objectiveSeeker Optimization Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 Atul Kumar Dwivedi Metaheuristics Applied to Blood Image Analysis . . . . . . . . . . . . . . . . . . 117 AnaCarolinaBorgesMonteiro,ReinaldoPadilhaFrança,VaniaV.Estrela, Navid Razmjooy, Yuzo Iano, and Pablo David Minango Negrete Optimal Bidding Strategy for Power Market Based on Improved World Cup Optimization Algorithm. . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 Navid Razmjooy, Anand Deshpande, Mohsen Khalilpour, Vania V. Estrela, Reinaldo Padilha, and Ana Carolina Borges Monteiro Speed Control of a DC Motor Using PID Controller Based on Improved Whale Optimization Algorithm. . . . . . . . . . . . . . . . 153 Navid Razmjooy, Zahra Vahedi, Vania V. Estrela, Reinaldo Padilha, and Ana Carolina Borges Monteiro vii viii Contents Skin Color Segmentation Based on Artificial Neural Network Improved by a Modified Grasshopper Optimization Algorithm. . . . . . . 169 Navid Razmjooy, Saeid Razmjooy, Zahra Vahedi, Vania V. Estrela, and Gabriel Gomes de Oliveira A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 Navid Razmjooy, Saeid Razmjooy, Zahra Vahedi, Vania V. Estrela, and Gabriel Gomes de Oliveira Design of Self-adaptive Fuzzy Logic Droop Controller for Hybrid Units in Islanded Microgrids . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 V. S. Vakula and B. Damodar Rao Skin Melanoma Segmentation Using Neural Networks Optimized by Quantum Invasive Weed Optimization Algorithm. . . . . . . . . . . . . . . 233 Navid Razmjooy and Saeid Razmjooy A Computational Intelligence Perspective on Multimodal Image Registration for Unmanned Aerial Vehicles (UAVs). . . . . . . . . . . . . . . . 251 Vania V. Estrela, Navid Razmjooy, Ana Carolina Borges Monteiro, Reinaldo Padilha França, Maria A. de Jesus, and Yuzo Iano Using Metaheuristics in Discrete-Event Simulation . . . . . . . . . . . . . . . . 275 ReinaldoPadilhaFrança,AnaCarolinaBorgesMonteiro,VaniaV.Estrela, and Navid Razmjooy An AWGN Channel Data Transmission Proposal Using Discrete Events for Cloud and Big Data Environments Using Metaheuristic Fundamentals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293 Reinaldo Padilha, Yuzo Iano, Ana Carolina Borges Monteiro, and Rangel Arthur Preface NavidRazmjooy Abstract Meta-heuristicsareoneofthemostsignificantdecision-makingmethods concerningespeciallyinthefieldsofcomputerandelectricalengineering.Mostof the real-world optimizations are highly multimodal and nonlinear, under various complex constraints. Different objectives are often conflicting. Even for a single objective,sometimes,optimalsolutionsmaynotexistatall.Ingeneral,findingan optimalsolutionorevensub-optimalsolutionsisnotaneasytask. · · · Keywords Optimization Meta-heuristics Bio-inspiredalgorithms Computer andelectricalsystems Optimization techniques are one of the most important decision-making areas concerning industrial, economics, business, and financial systems. Most real- world optimizations are highly multimodal and nonlinear, under various complex constraints. Different objectives are often conflicting. Even for a single objective, sometimes, optimal solutions may not exist at all. In general, finding an optimal solution or even sub-optimal solutions is not an easy task. Metaheuristic methods areacrucialaspectofanycomplexalgorithm,andaveryactiveareaofresearchis thedesignofnature-inspiredmetaheuristics.Manyrecentmetaheuristics,especially evolutionary algorithms, are inspired by natural systems to solve complex engi- neeringproblemsinareasonableamountoftime.Computerandelectricalsystems analysisandoperationarenoexceptiontothis.Whoeverhasimplementedacomplex engineeringsystem,knowswellthattheselectionoftheinitialguessandtheconver- gencecriterionarebasedonheuristics.Theobjectiveofthebookistoexplorethe emergingmeta-heuristicsoptimizationalgorithmsandmethodsincomputerandelec- tricalengineeringapplications.Theprospectiveaudienceofthebookisengineers, researchers, scientists, as well as industrialists. Chapters 1–15 are each devoted to a separate algorithm—and they each start with a brief literature review of the developmentofthealgorithm,andthenexplainhowithasbeenusedforareal-life problem. B N.Razmjooy( ) Tafresh,Iran e-mail:[email protected] ©SpringerNatureSwitzerlandAG2021 1 N.Razmjooyetal.(eds.),MetaheuristicsandOptimizationinComputerandElectrical Engineering,LectureNotesinElectricalEngineering696, https://doi.org/10.1007/978-3-030-56689-0_1
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