Exploration of Novel Intelligent Optimization Algorithms

12th International Symposium, ISICA 2021, Guangzhou, China, November 20–21, 2021, Revised Selected Papers

Häftad, Engelska, 2022

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This book constitutes the refereed proceedings of the 12th International Symposium, ISICA 2021, held in Guangzhou, China, during November 19–21, 2021. exploration of novel intelligent optimization algorithm; and intelligent application of industrial production.

Produktinformation

Utgivningsdatum2022-08-01
Mått155 x 235 x 29 mm
Vikt791 g
FormatHäftad
SpråkEngelska
SerieCommunications in Computer and Information Science
Antal sidor510
FörlagSpringer Verlag, Singapore
ISBN9789811941085

Tillhör följande kategorier

Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it
Hårdvara inom Data och it
Artificiell intelligens inom Data och it

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.