The Improved Artificial Bee Colony (IABC) algorithm is a variant of the well-known Artificial Bee Colony (ABC) algorithm. In IABC, a new initialization approach and a new search mechanism were added to the ABC for avoiding local optimums and a better convergence speed. New parameters were added for the new search mechanism. Specified values of these newly added parameters have a direct impact o...

This paper presents an Improved Artificial Bee Colony (IABC) algorithm to optimal tune of the Power System Stabilizer (PSS). In the IABC algorithm an interactive strategy is introduced by considering the universal gravitation to the movement of onlooker bees in the original Artificial Bee Colony (ABC) to enhance exploration ability of the ABC algorithm. The robustly PSS tuning problem is formul...

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...

This paper investigates the application of Artificial Bee Colony (ABC) method for the optimization of Tuned Mass Dampers (TMDs) employed for high-rise structures including Soil Structure Interaction (SSI). The model is a 40-story building, and Newmark method is utilized for the structure response to Bam earthquake data. The objective is to decrease both maximum displacement and accelerati...

In a global economy, an efficient supply chain as a main core competency empowers enterprises to provide products or services at the right time in the right quantity, at a low cost. This paper is to plan a single product, multi-echelon, multi-period closed loop supply chain for high-tech products (which have continuous price decrease). Ultimately, considering components rated to procurement, pr...

Wireless Sensor Networks plays a gargantuan role in instrumenting the modern day world; hence it is crucial to develop an optimal design flow. Out of the various Swarm intelligent algorithms developed so far, Artificial Bee Colony (ABC) algorithm offers a vivid scope for this objective. First introduced for solving numerical optimization problems, ABC has now spread across almost every phase of...

This paper is to seek effective scheme of boiler efficiency optimization, it uses Artificial Bee Colony (ABC) algorithm to optimize boiler efficiency based on the model of boiler combustion efficiency. First, an optimization model of boiler efficiency, which takes boiler efficiency function as optimization objective, is set up according to the heat loss of boiler combustion. Moreover, the opera...

To further improve the performance of artificial bee colony algorithm (ABC), an improved ABC (IABC) algorithm is proposed for global optimization via employing orthogonal initialization method. Furthermore, to balance the exploration and exploitation abilities, a new search mechanism is also designed. The performance of this algorithm is verified by using 27 benchmark functions. And the compari...