[PDF] Top 20 A Novel Hybrid Artificial Bee Colony Algorithm for Numerical Function Optimization

... based optimization strategy is multiple interactions in societal ...world optimization problems as the preceding study [1, 2, 3, 4] have ...ant colony optimization (ACO) [1], bacterial ... See full document

... ABSTRACT: For the last two decades, nature inspired metaheuristic algorithms have shown their ubiquitous nature in almost every aspect, where computational intelligence is used. This paper intends to focus on the ... See full document

... Bat algorithm is a recent addition to the family of ...Bat algorithm. Bat Algorithm shows promising results after parameter enhancement is ...swarm optimization, wolf search algorithm ... See full document

... time. Artificial bee colony algorithm , a novel heuristic optimization approach, is proposed to solve this ...A numerical example is used to test the developed model and ... See full document

... famous Artificial Bee Colony (ABC) optimization algorithm using von Neumann stability criterion for two-level finite difference ...ABC algorithm is recommended based on the ... See full document

... The numerical functions used in the experiments have some characteristic ...a function has more than one local optimum, this function is named ...an-variable function can be written as the sum ... See full document

... science, optimization refers to the selection of a best element from some set of available ...real function by systematically choosing the values of real or integer variables from within an allowed ... See full document

... Genetic algorithm (GA) (Qiang et ...Ant Colony Optimization , ABC, Improved ABC algorithm, Hybrid Artificial Bee Colony (Karaboga et ...others hybrid such as ... See full document

... an Artificial Bee Colony algorithm based novel optimization method based for interference cancellation design that maximizes gain to a desired angle and improves jamming ... See full document

... intelligent optimization algorithms, such as Genetic Algorithms (GA) [2, 3], Particle Swarm Optimization (PSO) algorithm [4, 5], Ant Colony Optimization (ACO) algorithm [6], and ... See full document

... dimensional optimization problems to avoid local optima and to find a good near optimum solution with sufficient convergence ...introduces Artificial Bee Colony algorithm with Adaptive ... See full document

... The numerical performance of eABC algorithm was compared with original ABC (Karaboga and Basturk, 2007a, b), MABC (Karaboga and Akay, 2011), M-ABC (Mezura-Montes and Cetina-Dominguez, 2012), SF-ABC ... See full document

... ABC algorithm, an im- proved version of the ABC algorithm is proposed by controlling some of the parameters in a way that it is able to produce better results than the standard ...(ABC-T) algorithm ... See full document

... In order to minimize the benchmark functions given in Table 1, iABC and the basic ABC algorithm were ap- plied. “Dim” and “Range” columns in the table are dimensionality of functions and upper and lower bounds of ... See full document

... ABC algorithm is based on the processes of search and exploitation of food sources that a bee colony carries ...specific function and their goal is to find the best source of food (possible ... 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 ...search algorithm ... See full document

... is artificial intelligence (AI) ...[24] Artificial neural network (ANN) system is utilized for ...Various optimization techniques have used to increase the efficiency of designs by choosing best ... See full document

... In this work, 13 classification problems from the UCI database [23] which is a well-known database repository, are used to evaluate the performance of the hybrid method called Artificial Bee ... See full document

... Honey bees in a colony show remarkable self-organization and co-ordination skills in their food foraging behavior. Bees have to forage over a vast area in search of good sources of food. After an initial ... See full document

... genetic algorithm which combines the feature of existing solutions and generate new ...The optimization problems depend upon the data they used so they are classified in to two ...genetic algorithm ... See full document