A particle swam optimization algorithm with interactive swarms for tracking multiple targets

Research output: Contribution to journal › Article › peer-review

Keywords

@article{cafbee4523aa4f7f8f3dad6b581d24ec,

title = "A particle swam optimization algorithm with interactive swarms for tracking multiple targets",

keywords = "Special Issue on Swarm Intelligence in Image and Video Processing., Computer science and informatics",

author = "Myo Thida and How-Lung Eng and Monekosso, \{Dorothy N.\} and Paolo Remagnino",

year = "2013",

month = jun,

doi = "10.1016/j.asoc.2012.05.019",

language = "English",

volume = "13",

pages = "3106--3117",

journal = "Applied Soft Computing",

issn = "1568-4946",

publisher = "Elsevier B.V.",

number = "6",

}

TY - JOUR

T1 - A particle swam optimization algorithm with interactive swarms for tracking multiple targets

AU - Thida, Myo

AU - Eng, How-Lung

AU - Monekosso, Dorothy N.

AU - Remagnino, Paolo

PY - 2013/6

Y1 - 2013/6

KW - Special Issue on Swarm Intelligence in Image and Video Processing.

KW - Computer science and informatics

U2 - 10.1016/j.asoc.2012.05.019

DO - 10.1016/j.asoc.2012.05.019

M3 - Article

SN - 1568-4946

VL - 13

SP - 3106

EP - 3117

JO - Applied Soft Computing

JF - Applied Soft Computing

IS - 6

ER -