Research Article
Performance Optimization of Self-organizing Bioparticles for Multi-target Detection and Gravitation Problems
@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
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.
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