LEADER 05168nam 22005175 450 001 9910747590703321 005 20251008140601.0 010 $a9783031426858 010 $a3031426851 024 7 $a10.1007/978-3-031-42685-8 035 $a(MiAaPQ)EBC30775415 035 $a(Au-PeEL)EBL30775415 035 $a(PPN)272914843 035 $a(CKB)28477905100041 035 $a(DE-He213)978-3-031-42685-8 035 $a(EXLCZ)9928477905100041 100 $a20231007d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMetaheuristics and Optimization in Computer and Electrical Engineering $eVolume 2: Hybrid and Improved Algorithms /$fedited by Navid Razmjooy, Noradin Ghadimi, Venkatesan Rajinikanth 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (491 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1077 311 08$aPrint version: Razmjooy, Navid Metaheuristics and Optimization in Computer and Electrical Engineering Cham : Springer International Publishing AG,c2023 9783031426841 327 $aA Comprehensive Survey of Meta-heuristic Algorithms -- Order Reduction of the Time-independent Linear Systems Using the Firefly Algorithm with Neighbourhood Attraction -- Intelligent Voltage Control of Electric Vehicles to Manage Power Quality Problems Using Improved Weed Optimization Algorithm -- Apple Spots and Defects Detection Based on Machine Vision, Fuzzy Systems, and Improved Gray Wolf Optimization Algorithm -- Technical and Economic Evaluation of the Optimal Placement of Fuel Cells in the Distribution System of Petrochemical Industries Based on Improved Firefly Algorithm -- Modeling and Optimal Control of Power System Frequency Load Controller by Applying Disturbance in the System by a Modified Version of Firefly Algorithm -- Design of a System for Melanoma Diagnosis Using Image Processing and Hybrid Optimization Techniques -- Multi-criteria Building Performance Optimization by Mm-based Iaso Method: A Case Study -- A Chameleon Swarm Optimization Model for the Optimal Adjustment of Retrofit Values in Spanish Houses -- Brain Tumor Segmentation Based on Zernike Moments, Enhanced Ant Lion Optimization, and Convolutional Neural Network in Mri Images -- Enhancing Cyber- Physical Resiliency Based on Meta-heuristic Algorithms for Microgrids Against Malicious Attacks -- An Optimized Combination of Spectral and Spatial Features for Hyperspectral Images Classification via Arithmetic Optimization Algorithm -- Multi-objective Optimization Using the Simulation of Net-zero Energy Residential Buildings with the African Vulture Optimizer -- A Systematic Literature Survey in Alzheimer Disease Using Optimization Techniques -- A Survey on Optimization Methods Used for Early Prediction and Diagnosis of Schizophrenia Disorder -- Serially Fused Dual-deep-features Based Chest X-ray Classification Scheme to Detect Tuberculosis -- Chaotic-moth-flame-algorithm Based Scheme to Design Pid Controller for Benchmark Avr. 330 $aThis book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new era of "metaheuristics" has emerged. Through researched-based techniques and collaborative problem-solving, this book helps engineers to find efficient solutions to their engineering challenges. With the help of an expert guide and the collective knowledge of the engineering community, this comprehensive guide shows readers how to use machine learning and other AI techniques to reinvent smart engineering. From understanding the fundamentals to mastering the latest metaheuristics models, this guide provides with the skills and knowledge that need to stay ahead in the technology race. In the previous volume, authors focused on the application of original metaheuristics on electrical and computer sciences. This volume learns how AI and modified metaheuristics can be used to optimize algorithms and create more efficient electrical engineering designs. It gets insights on how data can be effectively processed and discover new techniques for creating sophisticated automation systems. It maximizes the potential of readers? computer and electrical engineering projects with powerful metaheuristics and optimization techniques. 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1077 606 $aComputational intelligence 606 $aComputational Intelligence 615 0$aComputational intelligence. 615 14$aComputational Intelligence. 676 $a519.6 700 $aRazmjooy$b Navid$01431704 701 $aGhadimi$b Noradin$01431705 701 $aRajinikanth$b Venkatesan$01431706 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910747590703321 996 $aMetaheuristics and Optimization in Computer and Electrical Engineering$93574621 997 $aUNINA