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References in periodicals archive ?
Future research work should consider employing different discrete algorithms like discrete ant colony optimization (DACO), and discrete bat algorithm (DBA).
At this level we can, for example, determine that a particular requirement has characteristics that suggest the use of ant colony optimization or using a neural network classification.
The foremost survey of biologically (nature) inspired clustered computing which is based on Ant Colony Optimization (ACO) is presented in [71] which details from the origin of ACO to the latest clustering in ACO.
Ant colony optimization (ACO) is a metaheuristic approach simulating social behavior of real ants.
A proposed framework utilizing the ant colony optimization and the total entropy measure for mechanizing the design of neutrosophic variable is exhibited.
Arnaout, "Ant colony optimization algorithm for the Euclidean location-allocation problem with unknown number of facilities," Journal of Intelligent Manufacturing, vol.
Ant Colony Optimization. In the research of artificial intelligence and large scale problem solving, the ant colony optimization (ACO) algorithm is inspired by the ants food search behaviour in nature.
Boavida, "An energy-efficient ant-based routing algorithm for wireless sensor networks," Ant Colony Optimization and Swarm Intelligence, Springer Berlin Heidelberg, pp.
Singh, "Ant Colony Optimization (ACO) based Routing Protocols for Wireless Sensor Networks (WSN): A Survey," International Journal of Advanced Computer Science & Applications, 2017.
We propose a routing method using ant colony optimization (ACO).
Vinchurkar, "Robot path planning using an ant colony optimization approach: a survey," International Journal of Advanced Research in Artificial Intelligence, vol.