Exploration of Novel Intelligent Optimization Algorithms〈1st ed. 2022〉 : 12th International Symposium, ISICA 2021, Guangzhou, China, November 20–21, 2021, Revised Selected Papers

著者名：Li, Kangshun (EDT)/Liu, Yong (EDT)/Wang, Wenxiang (EDT)

Springer（2022/07/31発売）

• 言語：ENG
• ISBN：9789811941085
• eISBN：9789811941092

Description

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.

Table of Contents

​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.