Artificial Intelligence Algorithms and Applications

1. Front Matter

   Pages i-xiv

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2. New Frontier in Evolutionary Algorithms

   1. Front Matter

      Pages 1-1

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   2. Citrus Disease and Pest Recognition Algorithm Based on Migration Learning

      • Kangshun Li, Miaopeng Chen, Juchuang Lin, Shanni Li

      Pages 3-20

   3. Artificial Bee Colony Based on Adaptive Selection Probability

      • Songyi Xiao, Hui Wang, Minyang Xu, Wenjun Wang

      Pages 21-30

   4. Average Convergence Rate of Evolutionary Algorithms II: Continuous Optimisation

      • Yu Chen, Jun He

      Pages 31-45

   5. Optimization Design of Multi-layer Logistics Network Based on Self-Adaptive Gene Expression Programming

      • Huazhi Zhou, Kangshun Li, Runxuan Xu, Xinyao Qiu, Zhanbiao Zhu

      Pages 46-58

   6. Potential Well Analysis of Multi Scale Quantum Harmonic Oscillator Algorithms

      • Jin Jin, Peng Wang

      Pages 59-71

   7. Design and Implementation of Key Extension and Interface Module Based on Quantum Circuit

      • Chengcheng Wang, Jiahao Sun, Zhijin Guan, Jiaqing Chen, Yuehua Li

      Pages 72-86

   8. Research on Atmospheric Data Assimilation Algorithm Based on Parallel Time-Varying Dual Compression Factor Particle Swarm Optimization Algorithm with GPU Acceleration

      • Ke Chen, Yadong Liu, Liyuan Liu, Yidong Yu, Yiqi Dong, Yala Tong

      Pages 87-96

   9. A Parallel Gene Expression Clustering Algorithm Based on Producer-Consumer Model

      • Lei Yang, Xin Hu, Kangshun Li, Wensheng Zhang, Yaolang Kong, Rui Xu et al.

      Pages 97-111

3. Evolutionary Multi-objective and Dynamic Optimization

   1. Front Matter

      Pages 113-113

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   2. Decomposition-Based Dynamic Multi-objective Evolutionary Algorithm for Global Optimization

      • Qing Zhang, Ruwang Jiao, Sanyou Zeng, Zhigao Zeng

      Pages 115-126

   3. A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning

      • Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang

      Pages 127-142

   4. Neural Architecture Search Using Multi-objective Evolutionary Algorithm Based on Decomposition

      • Weiqin Ying, Kaijie Zheng, Yu Wu, Junhui Li, Xin Xu

      Pages 143-154

   5. A Collaborative Evolutionary Algorithm Based on Decomposition and Dominance for Many-Objective Knapsack Problems

      • Hainan Huang, Weiqin Ying, Yu Wu, Kaijie Zheng, Shaowu Peng

      Pages 155-166

   6. A Many-Objective Algorithm with Threshold Elite Selection Strategy

      • Shaojin Geng, Di Wu, Penghong Wang, Xingjuan Cai

      Pages 167-179

   7. Multi-objective Optimization Algorithm Based on Uniform Design and Differential Evolution

      • Jinrong He, Dongjian He, Aiqing Shi, Guoliang He

      Pages 180-193

   8. Research on Optimization of Multi-target Logistics Distribution Based on Hybrid Integer Linear Programming Model

      • Jinfeng Wang, Jiayan Tang, Linqi He, Zirong Ji, Zhenyu He, Cheng Yang et al.

      Pages 194-208

   9. Research of Strategies of Maintaining Population Diversity for MOEA/D Algorithm

      • Wenxiang Wang, Xingzhen Tao, Lei Deng, Jun Zeng

      Pages 209-221

4. Intelligent Multimedia Systems

   1. Front Matter

      Pages 223-223

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This book constitutes the thoroughly refereed proceedings of the 11th International Symposium on Intelligence Computation and Applications, ISICA 2019, held in Guangzhou, China, in November 2019.
The 65 papers presented were carefully reviewed and selected from  the total of 112 submissions. This volume features the most up-to-date research in evolutionary algorithms, parallel computing and quantum computing, evolutionary multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent control, big data and cloud computing, deep learning, and hybrid machine learning systems.The papers are organized according to the following topical sections: new frontier in evolutionary algorithms; evolutionary multi-objective and dynamic optimization; intelligent multimedia systems; virtualization and AI applications; smart scheduling; intelligent control; big data and cloud computing; statistical learning.

• artificial intelligence
• communication systems
• computer hardware
• computer networks
• computer systems
• computer vision
• correlation analysis
• evolutionary algorithms
• genetic algorithms
• image analysis
• image processing
• image segmentation
• machine learning
• network protocols
• optimization
• optimization problems
• pattern recognition
• signal processing
• telecommunication systems

• South China Agricultural University, Guangzhou, China

  Kangshun Li, Hui Wang

• Jiangxi University of Science and Technology, Ganzhou, China

  Wei Li

• The University of Aizu, Aizu-Wakamatsu, Japan

  Yong Liu

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