Plagiarism is one of the leading problems in academic and industrial environments, which its goal to find similar items a typical document or source code. This paper proposes an architecture based on Long Short-Term Memory (LSTM) attention mechanism called LSTM-AM-ABC boosted by population-based approach for parameter initialization. Gradient-based optimization algorithms such as back-propagati...

This paper propose a new mixture method called Quantum Artificial Bee Colony (QABC) algorithm. QABC is based on some quantum computing concepts, such as qubits and superposition of states. In QABC these quantum concepts are applied on Artificial Bee Colony (ABC) algorithm. ABC is one of the recent algorithms in optimization area that has earned good popularity and some new works based on origin...

Received Oct 14,2012 Revised Jan 05, 2013 Accepted March 02,2013 In practical cases, the fuel cost of generators can be represented as a quadratic function of real power generation and satisfied constraints for minimizing of fuel cost. Artificial bee colony (ABC) algorithm is used for the optimization of active power dispatch of generating units. The proposed method is able to determine, the ou...

This paper describes a novel shape-matching approach to visual target recognition for aircraft at low altitude. An artificial bee colony (ABC) algorithm with edge potential function (EPF) is proposed to accomplish the target recognition task for aircraft. EPF is adopted to provide a type of attractive pattern for a matching contour, which can be exploited by ABC algorithm conveniently. In this ...

The Artificial Bee Colony (ABC) is an algorithm designed to solve continuous problems. ABC has been proven be more effective than other biological-inspired algorithms. However, it needed modify its functionality in order a discrete problem. In this work, natural modification the original made make able Six neighborhood operators are proposed simulate behavior of ABC. Moreover, several Traveling...

Approximate Bayesian computation (ABC) have become an essential tool for the analysis of complex stochastic models. Grelaud et al. (2009, Bayesian Ana 3:427–442) advocated the use of ABC for model choice in the specific case of Gibbs random fields, relying on a inter-model sufficiency property to show that the approximation was legitimate. We implemented ABC model choice in a wide range of phyl...

Artificial bee colony (ABC) algorithm is one of the popular swarm intelligence algorithms. ABC has been developed by being inspired foraging and waggle dance behaviors of real bee colonies in 2005. Since its invention in 2005, many ABC models have been proposed in order to solve different optimization problems. In all the models proposed, there are only one scout bee and a constant limit value ...

Due to the presence of speckle noise, segmentation of Synthetic Aperture Radar (SAR) images is still a challenging problem. This paper proposes a fast SAR image segmentation method based on Artificial Bee Colony (ABC) algorithm. In this method, threshold estimation is regarded as a search procedure that searches for an appropriate value in a continuous grayscale interval. Hence, ABC algorithm i...

The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to lim...