In recent years large number of algorithms based on the swarm intelligence has been proposed by various researchers. The Artificial Bee Colony (ABC) algorithm is one of most popular stochastic, swarm based algorithm proposed by Karaboga in 2005 inspired from the foraging behavior of honey bees. In short span of time, ABC algorithm has gain wide popularity among researchers due to its simplicity...

Artificial Bee Colony (ABC) is one of the most recent nature inspired (NIA) algorithms based on swarming metaphor. Proposed by Karaboga in 2005, ABC has proven to be a robust and efficient algorithm for solving global optimization problems over continuous space. However, it has been observed that the structure of ABC is such that it supports exploration more in comparison to exploitation. In or...

This paper presents a new approach to improve the recognition performance of existing authentication systems based on palmprint. The technique presented extracts multiple features namely, minutiae, texture and ridge from the palmprint image using novel algorithms. The images are then classified using Artificial Bee Colony Classifier. The proposed palmprint approach proves to be superior to exis...

http://dx.doi.org/10.1016/j.ins.2014.04.013 0020-0255/ 2014 Elsevier Inc. All rights reserved. ⇑ Corresponding author. Tel.: +86 0791 88126661; fax: +86 0791 88126660. E-mail addresses: [email protected] (H. Wang), [email protected] (Z. Wu), [email protected] (S. Rahn [email protected] (H. Sun), [email protected] (Y. Liu), [email protected] (J.-s. Pan). Hui Wang a,⇑, Zhijian ...

Artificial bee colony (ABC) algorithm has been introduced for solving numerical optimization problems, inspired collective behavior of honey bee colonies. ABC algorithm has three phases named as employed bee, onlooker bee and scout bee. In the model of ABC, only one design parameter of the optimization problem is updated by the artificial bees at the ABC phases by using interaction in the bees....

Artificial Bee Colony (ABC) optimization algorithm is relatively a simple and recent population based probabilistic approach for global optimization. ABC has been outperformed over some Nature Inspired Algorithms (NIAs) when tested over test problems as well as real world optimization problems. This paper presents an attempt to modify ABC to make it less susceptible to stick at local optima and...