Exploration of Novel Intelligent Optimization Algorithms (eBook, PDF)

12th International Symposium, ISICA 2021, Guangzhou, China, November 20-21, 2021, Revised Selected Papers
Redaktion: Li, Kangshun; Wang, Wenxiang; Liu, Yong

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 12th International Symposium, ISICA 2021, held in Guangzhou, China, during November 19-21, 2021.

The 48 full papers included in this book were carefully reviewed and selected from 99 submissions. They were organized in topical sections as follows: new frontier of multi-objective evolutionary algorithms; intelligent multi-media; data modeling and application of artificial intelligence; exploration of novel intelligent optimization algorithm; and intelligent application of industrial production.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 510
• Erscheinungstermin: 31. Juli 2022
• Englisch
• ISBN-13: 9789811941092
• Artikelnr.: 64708669

Inhaltsangabe

Session 1: New Frontier of Multi-objective Evolutionary Algorithms.-Improved particle swarm algorithm and its application in sensor network optimization.-Image Segmentation by Improved Conical Area Evolutionary Algorithm.-An Efficient Multi-objective Algorithm with High Abundant Elite Information and Evolutionary Phase Self-adjusting for Many Objective Optimization.-Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution.-A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.-A Many-objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection.-An Adaptive Reference Vector Strategy with Shape Estimation for Many-objective Optimization Problem.-Manifold learning algorithm based on constrained particle swarm multi-objective optimization.-Session 2: Intelligent Multi-media-The use of trusted log storage and verification system based on blockchain for Manufacturing Execution System.-The Combination of GRU and Dense Block for Image Denoising Network.-Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technology.-Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning.-Measurement system for energy consumption of runtime software in embedded system.-Experiment analysis on Fast Features Bag approach for Pedestrian Re-recognition.-Contrast retention de-coloring based on cosine similarity.-Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow.