@article {11338540020160228,
	title = {Vertical Handover Decision Algorithm Using Ants{\textquoteright} Colonies for 4G Heterogeneous Wireless Networks.},
	journal = {Journal of Computer Networks \& Communications},
	year = {2016},
	pages = {1 - 15},
	abstract = {With the development of 4G mobile telecommunication systems, providing users with the convenience of a seamless continuous connection is not enough anymore. Users want to be connected through the best available network with the best quality of service. It is necessary to have a good decision-making algorithm which decides whether it is necessary to perform handoff to another network, the best network to vertically perform handoff to, and the right time to initiate the handover. This paper proposes a new approach in which mobile terminals (MTs) continuously analyze the network and keep a database of the best available networks. The concept is based on QoS aware ant colony built on the vertical handoff mechanism that uses an updated version of ants{\textquoteright} colony optimization decision algorithm (ACOR), the dynamic and static factors such as RSS, the cost of service, bandwidth, the velocity of MT, the power consumption and security, and the module for predicting the traveling distance within an},
	keywords = {Ant algorithms, Bandwidths, Quality of service, Roaming (Telecommunication), Wireless sensor networks},
	issn = {20907141},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=113385400\&site=ehost-live},
	author = {El Fachtali, Imad and Saadane, Rachid and Elkoutbi, Mohammed}
}
@article {9434372520130201,
	title = {Ant colony algorithm for the multi-depot vehicle routing problem in large quantities by a heterogeneous fleet of vehicles.},
	journal = {INFOR},
	volume = {51},
	number = {1},
	year = {2013},
	pages = {31 - 40},
	abstract = {This article describes a heuristic method based on an ant colony algorithm for the multi-depot vehicle routing problem in large quantities by a heterogeneous fleet of vehicles. Test results on different problem instances are presented and compared with those obtained by CPLEX and by a previous constructive heuristic. [ABSTRACT FROM AUTHOR]},
	keywords = {Ant algorithms, ant colony algorithm, Comparative studies, Computer networks, Heuristic algorithms, Information technology, Keywords Distribution, products in large quantities, Vehicle routing problem},
	issn = {03155986},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=bth\&AN=94343725\&site=ehost-live},
	author = {Benslimane, Mohammed Taha and Benadada, Youssef}
}
