Optimisation of surveillance camera site locations and viewing angles using a novel hybridised multi-attribute, multi-objective genetic algorithm: a day/night anti-poaching application

Andries Heyns

Optimisation of surveillance camera site locations and viewing angles using a novel hybridised multi-attribute, multi-objective genetic algorithm: a day/night anti-poaching application

HUMLOG Institute, Helsinki

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

Original language	English
Peer-reviewed scientific journal	Expert Systems with Applications
ISSN	0957-4174
Publication status	Submitted - 2020
MoE publication type	A1 Journal article - refereed

Cite this

Heyns, A. (2020). Optimisation of surveillance camera site locations and viewing angles using a novel hybridised multi-attribute, multi-objective genetic algorithm: a day/night anti-poaching application. Manuscript submitted for publication.

@article{9744860e0bc54e0f8efffe2f2ad98b49,

title = "Optimisation of surveillance camera site locations and viewing angles using a novel hybridised multi-attribute, multi-objective genetic algorithm: a day/night anti-poaching application",

author = "Andries Heyns",

year = "2020",

language = "English",

journal = "Expert Systems with Applications",

issn = "0957-4174",

publisher = "Pergamon (Elsevier BV)",

}