... inspired beecolony optimization to gain the fast process to solve travelling salesman problem ...used bee swarm for fast clustering ...on artificialbeecolony besides of recent ...
... optimization. ArtificialBeeColony (ABC) algorithm is a meta- heuristic search algorithm and is investigated, in this paper, to localize BTSs so as to cover maximum number of ...
... manner. ArtificialBeeColony (ABC) is one of the new approaches used to solve optimization ...proposes ArtificialBeeColony (ABC) approach as a new method for web mining ...
... Both Ant colony Optimization (ACO) and ArtificialBeeColony (ABC) optimization algorithm can be used for optimizing the path traversed. Each of these algorithms has its own advantages and ...
... This paper presents an improved artificialbeecolony (iABC) algorithm. iABC is based on neighbor selection mechanism for onlooker bees. As employed bees share position information with onlooker ...
... flocking, ArtificialBeeColony (ABC) optimization algorithm [21] inspired by foraging behaviour of honey bees, Gravitational Search Algorithm (GSA) [28] taking inspiration from law of gravity and ...
... networks) on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency, to meet the varying environments. Optimization problems in the design of radar ...
... with artificialbeecolony technique called VNE-ABC and (ii) we con- duct side-by-side comparisons between our algorithm and the state-of-the-art algorithm to demonstrate the resource efficiency of ...
... ArtificialBeeColony (ABC) algorithm is considered as a new algorithm in the swarm intelligence family. This algorithm grabs the attention of the researchers due to its potentials in solving various ...
... In this article, an implementation of the optimization algorithm based on the natural behavior of bees (artificialbeecolony algorithm or ABC for short) is studied in a power system. The importance ...
... constrained artificialbeecolony: ABC probability selection mechanism is presented to enhance algorithm has been originally introduced to address diversity by allowing infeasible solutions in the ...
... This paper proposes a feature selection method for data analysis based on ArtificialBeeColony (ABC) approach that can be used in several knowledge domains through wrapper and forward strategies. ...
... on ArtificialBeeColony to deal with multi-objective optimization ...honey bee swarm used less control parameters and it was found to be very efficient in solving multimodal and ...
... an artificialbeecolony(ABC) mechanism 1 ...employed bee has only one single source food and the hive has equal number of food source and employed ...employed bee stays on the food ...
... scout bee, mechanisms based on nonlinear interpolated path and gaussian movement is proposed by Sharma and Pant ...improved artificialbeecolony algorithm [159] with a new search cycle ...
... variety of ABCs, i.e. global artificialbeecolony search algorithmic program (GABCS) is applied to information cluster. In GABCS the modification is thanks to the very fact that practiced bees will ...
... Abstract– ArtificialBeeColony (ABC) is one of the recently introduced optimization methods based on intelligent behavior of honey ...Multi-Objective ArtificialBeeColony ...
... The artificialbeecolony (ABC) algorithm, which is one of the most popular swarm intelligence algorithms, was first introduced by Karaboga in 2005 for numerical optimization problems and was ...