LEADER 05077nam 22005895 450 001 9910574039803321 005 20251113182731.0 010 $a3-030-99079-6 024 7 $a10.1007/978-3-030-99079-4 035 $a(MiAaPQ)EBC7013177 035 $a(Au-PeEL)EBL7013177 035 $a(CKB)23524783500041 035 $aEBL7013177 035 $a(AU-PeEL)EBL7013177 035 $a(PPN)267813430 035 $a(OCoLC)1325717871 035 $a(DE-He213)978-3-030-99079-4 035 $a(EXLCZ)9923524783500041 100 $a20220604d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntegrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems /$fedited by Essam Halim Houssein, Mohamed Abd Elaziz, Diego Oliva, Laith Abualigah 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (497 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1038 300 $aDescription based upon print version of record. 311 08$aPrint version: Houssein, Essam Halim Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems Cham : Springer International Publishing AG,c2022 9783030990787 327 $aCombined Optimization Algorithms for Incorporating DG in Distribution Systems -- Intelligent computational models for cancer diagnosis: A Comprehensive Review -- Elitist-Ant System metaheuristic for ITC 2021- Sports Timetabling -- Swarm intelligence algorithms-based Machine Learning Framework for Medical Diagnosis: A Comprehensive Review -- Aggregation of Semantically Similar News Articles with the help of Embedding Techniques and Unsupervised Machine Learning Algorithms: A Machine Learning Application with Semantic Technologies -- Integration of Machine Learning and Optimization Techniques for Cardiac Health Recognition -- Metaheuristics for Parameter Estimation of Solar Photovoltaic Cells: A Comprehensive Review -- Big Data Analysis using Hybrid Meta-heuristic Optimization Algorithm and MapReduce Framework -- Deep Neural Network for Virus Mutation Prediction: A Comprehensive Review -- 2D Target/Anomaly Detection in Time Series Drone Images using Deep Few-Shot Learning in Small Training Dataset -- Hybrid Adaptive Moth-Flame Optimizer and Opposition-Based Learning for Training Multilayer Perceptrons -- Early Detection of Coronary Artery Disease Using a PSO-based Neuroevolution Model -- Review for meta-heuristic optimization propels machine learning computations execution on spam comment area under digital security aegis region -- Solving reality based optimization trajectory problems with different metaphor inspired metaheuristic algorithms -- Parameter Tuning of PID controller Based on Arithmetic Optimization Algorithm in IOT systems -- Testing and Analysis of Predictive Capabilities of Machine Learning Algorithms -- AI Based Technologies for Digital and Banking Fraud During COVID -19 -- Gradient-Based Optimizer for structural optimization problems -- Aquila Optimizer based PSO Swarm Intelligence for IoT Task Scheduling Application in Cloud Computing. 330 $aThis book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. In this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material can be helpful for research from the evolutionary computation, artificial intelligence communities. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1038 606 $aComputational intelligence 606 $aMachine learning 606 $aComputational Intelligence 606 $aMachine Learning 615 0$aComputational intelligence. 615 0$aMachine learning. 615 14$aComputational Intelligence. 615 24$aMachine Learning. 676 $a519.3 676 $a670.151 702 $aHoussein$b Essam Halim 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910574039803321 996 $aIntegrating meta-heuristics and machine learning for real-world optimization problems$92998669 997 $aUNINA