Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems

AvEssam Halim Houssein,Mohamed Abd Elaziz

Inbunden, Engelska, 2022

Del i serien Studies in Computational Intelligence

1 547 kr

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Beskrivning

This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems.

Produktinformation

Utgivningsdatum:2022-06-05
Mått:155 x 235 x 33 mm
Vikt:928 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:497
Förlag:Springer Nature Switzerland AG
ISBN:9783030990787

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

Combined 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