[PDF] Top 20 An Improved Artificial Bee Colony Algorithm with Elite-Guided Search Equations

... ABC elite, a novel artificial bee colony algorithm with elite-guided search equations, has been put forward recently, with relatively good performance com- ... See full document

... an improved solution search method in ABC, which depends on the fact that bee searches around the best solution of the preceding iteration to increase the ...in artificial bee ... See full document

... (SA) algorithm into ABC. Luo et al. [27] enhanced the solution search equation in the onlooker phase using the best solution of the previous generation to direct the search ...with improved ... See full document

... the search process, the search capability of each bee (onlooker and employed) is guided by a set of bees ...the algorithm. Now bees search the food positions by learning within ... See full document

... to search for the best motion vec- tor is called motion estimation (ME) ...block-matching algorithm (BMA) and pixel-based algorithm ...and improved BMA in their lossless video com- pression ... See full document

... Since invention of ABC 2005, studies on ABC in the literature have increased significantly. The ABC was used for designing of digital IRR filters by Karaboga [7], Singh used it for leaf-constrained minimum spanning tree ... See full document

... ABC algorithm is a recently introduced optimization algorithm proposed by Karaboga [3, 39, 40], which is inspired by the intelligent foraging behavior of the honeybee ...ABC algorithm, there are two ... See full document

... The algorithm at the beginning of operation, there is not much difference in the probability of each food source is worker to find the number of iterations, a gradual increase in worker, not only to expand the ... See full document

... (BPNN) algorithm is a widely used technique in training artificial neural ...training algorithm has some drawbacks such as getting stuck in local minima, and net- work ...an improved ... See full document

... simulation algorithm to estimate optimal size of ...an Artificial Bee Colony algorithm based methodology for solving the capacitor allocation ...comprehensive algorithm for ... See full document

... training algorithm is widely used techniques in artificial neural network and is also very popular optimization task in finding an optimal weight sets during the training ...an improved Levenberg ... See full document

... wherek is {1, 2, . . .SN} is a randomly chosen index that has to be different from i. φijis a uniformly distributed real random number in the range [-1,1]. MR is the modification rate which takes value between 0 and 1. A ... See full document

... scout bee operator, and the parity and border line ...employed bee food sources by onlooker ...an improved ABC algorithm named gbest-guided ABC (GABC) algorithm by integrating ... See full document

... (BPNN) algorithm [11]. However, the BPNN algorithm suffers from two major draw- backs: low convergence rate and ...propagation algorithm including the conjugate gradient descent [15] ...many ... See full document

... cuckoo search algorithm [6] is an optimization technique developed by Xin-She Yang and Saush Deb in the year ...This algorithm is inspired by some species of a bird family called cuckoo, because of ... See full document

... Bat algorithm is a meta-heuristic optimization algorithm developed by Xin-She Yang in 2010 ...bat algorithm is based on the echolocation behaviour of microbats with varying pulse rates of emission ... See full document

... the algorithm to bound the generated error. In the considered ABC algorithm, greedy selection is applied in both employed bee phase and onlooker bee phase which plays a vital role in reducing ... See full document

... On the basis of the hunting behaviour of the wolf group, the wolf swarm algorithm is proposed. The wolf swarm algorithm has both better robustness and global characteristic. The prey hunting behaviour of ... See full document

... Ant colony optimization is a part of swarm intelligence and it is generally used in wireless communication system and data mining where distance and data is ... See full document

... and algorithm, this research work covers and is limited to the training and testing of MLP with GGABC, IGGABC and ASBC algorithm, and their performance is benchmarked with the standard BP, ABC, GABC and ... See full document