A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Automatic thresholding of gray-level pictures using two-dimensional entropy
Computer Vision, Graphics, and Image Processing
Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm
Pattern Recognition Letters
Ant Colony Optimization
Pattern Recognition Letters
A PAPR reduction method based on artificial bee colony algorithm for OFDM signals
IEEE Transactions on Wireless Communications
A heuristics method based on ant colony optimisation for redundancy allocation problems
International Journal of Computer Applications in Technology
Particle swarm optimisation of a discontinuous control for a wheeled mobile robot with two trailers
International Journal of Computer Applications in Technology
An overview of peak-to-average power ratio reduction techniques for multicarrier transmission
IEEE Wireless Communications
International Journal of Computer Applications in Technology
International Journal of Wireless and Mobile Computing
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Artificial bee colony ABC algorithm is a biological-inspired optimisation algorithm proposed in recent years. It has been shown to have some advantages than most of conventional biological-inspired algorithms and has been widely used in many applications. However, the ABC algorithm does not consider the balance between global best and local best, and make ABC algorithm insufficiency. In this paper, a modified ABC algorithm is proposed, global best is introduced into the original ABC algorithm to modify the update equation of employed and onlooker bees while the equation for scouts remain unchanged. The effectiveness of the proposed approach is verified on the problem of peak-to-average power ratio reduction in orthogonal frequency division multiplexing signals and multi-level image segmentation. Simulation results showed that the proposed approach has better performance than traditional ABC algorithm with the same computational complexity.