A Hybrid technique of Artificial Neural Network and Honey Bee Mating Optimization (H-ANN-HBMO) is presented in this paper to damp power system oscillation in multi machine environment. By considering this strategy the weights of ANN is optimized to find the optimum work point of controller. The proposed strategy consists of an ANN controller, which is used as a power system stabilizer in power ...

Cluster analysis is one of attractive data mining technique that use in many fields. One popular class of data clustering algorithms is the center based clustering algorithm. K-means used as a popular clustering method due to its simplicity and high speed in clustering large datasets. However, K-means has two shortcomings: dependency on the initial state and convergence to local optima and glob...

In recent years several bee inspired optimization techniques have been proposed. These methods are either based on the bees’ foraging or mating behavior. Both foraging and mating regulate distributions outside (foraging) or within a colony (mating). Foraging determines the ratio of individuals that explore the surroundings for new food sources and those that exploit known food sources, while ma...

Social Spider Optimization (SSO) algorithm is a swarm intelligence optimization algorithm based on the mating behavior of social spiders. Numerical simulation results have shown that SSO outperformed some classical swarm intelligence algorithms such as Particle Swarm Optimization (PSO) algorithm and Artificial Bee Colony (ABC) algorithm and so on. However, there are still some deficiencies abou...

During the history of science of computational, many evolutionary algorithms approaches were proposed having more or less success in solving various optimization problems. The algorithm is applied for numerical simulations based on optimized proportional integral derivative (PID) control of an automatic regulator voltage system for nominal system parameters and step reference voltage input illu...

in this paper proposes a fuzzy multi-objective hybrid genetic and bee colony optimization algorithm(ga-bco) to find the optimal restoration of loads of power distribution network under fault.restoration of distribution systems is a complex combinatorial optimization problem that should beefficiently restored in reasonable time. to improve the efficiency of restoration and facilitate theactivity...

Artificial Bee Colony algorithm is an optimization algorithm based on the intelligent behavior of honey bee swarm. This paper presents Bee Swarm Optimization intended to introduce chaotic sequences and psychology factor of emotion into the algorithm. We define two emotions Bees could have, positive and negative, and correspond to two reaction to perception respectively. For avoiding premature c...