10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

Performance Optimization of Self-organizing Bioparticles for Multi-target Detection and Gravitation Problems

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  • @INPROCEEDINGS{10.4108/eai.22-3-2017.152413,
        author={Jian Yang and Satoru Iwasaki and Anthony Abraham and Juan Lorenzo Hagad and Takuya Obuchi and Tadashi Nakano},
        title={Performance Optimization of Self-organizing Bioparticles for Multi-target Detection and Gravitation Problems},
        proceedings={10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
        publisher={EAI},
        proceedings_a={BICT},
        year={2017},
        month={3},
        keywords={swarm intelligence; target detection; drug delivery; chemotaxis},
        doi={10.4108/eai.22-3-2017.152413}
    }
    
  • Jian Yang
    Satoru Iwasaki
    Anthony Abraham
    Juan Lorenzo Hagad
    Takuya Obuchi
    Tadashi Nakano
    Year: 2017
    Performance Optimization of Self-organizing Bioparticles for Multi-target Detection and Gravitation Problems
    BICT
    EAI
    DOI: 10.4108/eai.22-3-2017.152413
Jian Yang1, Satoru Iwasaki1, Anthony Abraham1, Juan Lorenzo Hagad1, Takuya Obuchi1, Tadashi Nakano1,*
  • 1: Osaka University
*Contact email: tadasi.nakano@fbs.osaka-u.ac.jp

Abstract

This paper investigates the performance of self-organizing bioparticles for multi-target detection and gravitation prob- lems. This paper describes three approaches to multi-target detection and gravitation problems in which bioparticles co- ordinate their behavior by secreting (1) attractants, (2) re- pellents or (3) both attractants and repellents. We first de- fine the behavior of bioparticles in these approaches by using differential equations. We then show numerical results to un- derstand the basic behavior of bioparticles in each approach and to demonstrate optimized performance for multi-target detection and gravitation problems.