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Bio-inspired Computing: Theories and Applications

14th International Conference, BIC-TA 2019, Zhengzhou, China, November 22–25, 2019, Revised Selected Papers, Part I

  • Conference proceedings
  • © 2020

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Editors:
  1. Linqiang Pan

    1. Huazhong University of Science and Technology, Wuhan, China

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  2. Jing Liang

    1. Zhengzhou University, Zhengzhou, China

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  3. Boyang Qu

    1. Zhongyuan University of Technology, Zhengzhou, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1159)

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Conference proceedings info: BIC-TA 2019.

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About this book

​This two-volume set (CCIS 1159 and CCIS 1160) constitutes the proceedings of the 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, held in Zhengzhou, China, in November 2019.

The 121 full papers presented in both volumes were selected from 197 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; ​bioinformatics and systems biology; complex networks; DNA and molecular computing; neural networks and articial intelligence.

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Table of contents (61 papers)

  1. Evolutionary Computation and Swarm Intelligence

    1. An Unbiased Butterfly Optimization Algorithm

      • Gehan Ahmed Bahgat, Abd-Allah Fawzy, Hassan M. Emara
      Pages 506-516

    2. On-Chip Health Monitoring Based on DE-Cluster in 2.5D ICs

      • Libao Deng, Le Song, Ning Sun
      Pages 517-526

    3. Multi-AGV Collision Avoidance Path Optimization for Unmanned Warehouse Based on Improved Ant Colony Algorithm

      • Yang Yang, Jianmin Zhang, Yilin Liu, Xin Song
      Pages 527-537

    4. An Improved Competitive Swarm Optimizer for Large Scale Optimization

      • Zhenzu Liu, Lianghong Wu, Hongqiang Zhang, Panpan Mei
      Pages 538-548

    5. MEAPCA: A Multi-population Evolutionary Algorithm Based on PCA for Multi-objective Optimization

      • Nan-jiang Dong, Rui Wang
      Pages 549-557

    6. A Novel Genetic Algorithm with Population Perturbation and Elimination for Multi-satellite TT&C Scheduling Problem

      • Ming Chen, Jun Wen, Ben-Jie Pi, Hao Wang, Yan-Jie Song, Li-Ning Xing
      Pages 558-568

    7. A Novel Grey Wolf Optimization Based Combined Feature Selection Method

      • Haikuan Wang, Zhaoyan Hu, Zhile Yang, Yuanjun Guo
      Pages 569-580

    8. Improved Discrete Artificial Bee Colony Algorithm

      • Wanying Liang, Shuo Liu, Kang Zhou, Shiji Fan, Xuechun Shang, Yanzi Yang
      Pages 581-597

    9. UAV 3D Path Planning Based on Multi-Population Ensemble Differential Evolution

      • Xuzhao Chai, Junming Xiao, Zhishuai Zheng, Liang Zhang, Boyang Qu, Li Yan et al.
      Pages 598-610

    10. Multi-objective Feature Selection Based on Artificial Bee Colony for Hyperspectral Images

      • Chun-lin He, Yong Zhang, Dun-wei Gong, Bin Wu
      Pages 611-621

    11. Meta-heuristic Hybrid Algorithmic Approach for Solving Combinatorial Optimization Problem (TSP)

      • Usman Ashraf, Jing Liang, Aleena Akhtar, Kunjie Yu, Yi Hu, Caitong Yue et al.
      Pages 622-633

    12. An Effective Two-Stage Optimization Method Based on NSGA-II for Green Multi-objective Integrated Process Planning and Scheduling Problem

      • Xiaoyu Wen, Kanghong Wang, Haiqiang Sun, Hao Li, Weiwei Zhang
      Pages 634-648

    13. An Improved Multi-objective Particle Swarm Optimization with Adaptive Penalty Value for Feature Selection

      • Wentao Chen, Fei Han
      Pages 649-661

    14. An Adaptive Brain Storm Optimization Algorithm Based on Heuristic Operators for TSP

      • Yali Wu, Xiaopeng Wang, Jinjin Qi, Liting Huang
      Pages 662-672

    15. A Modified JAYA Algorithm for Optimization in Brushless DC Wheel Motor

      • Li Yan, Chuang Zhang, Boyang Qu, Fangfang Bian, Chao Li
      Pages 673-681

    16. Genetic Action Sequence for Integration of Agent Actions

      • Man-Je Kim, Jun Suk Kim, Donghyeon Lee, Chang Wook Ahn
      Pages 682-688

    17. Based on Fuzzy Non-dominant and Sparse Individuals to Improve Many-Objective Differential Evolutionary

      • Yulong Xu, Xu Pan, Xiaomin Jiao, Yali Lv, Ting Song
      Pages 689-702

    18. KnEA with Ensemble Approach for Parameter Selection for Many-Objective Optimization

      • Vikas Palakonda, Rammohan Mallipeddi
      Pages 703-713

    19. Decomposition Based Differentiate Evolution Algorithm with Niching Strategy for Multimodal Multi-objective Optimization

      • Weiwei Zhang, Ningjun Zhang, Hanwen Wan, Daoying Huang, Xiaoyu Wen, Yinghui Meng
      Pages 714-726

    20. A Bacterial Foraging Framework for Agent Based Modeling

      • Mijat Kustudic, Niu Ben
      Pages 727-738
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Other volumes

  1. Bio-inspired Computing: Theories and Applications

  2. Bio-inspired Computing: Theories and Applications

Editors and Affiliations

  • Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  • Zhengzhou University, Zhengzhou, China

    Jing Liang

  • Zhongyuan University of Technology, Zhengzhou, China

    Boyang Qu

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