Information sharing in bee colony for detecting multiple niches in non-stationary environments

This paper proposes an information sharing model of artificial bee colony for locating multiple peaks in dynamic environments. The concept of niching is implemented by using a hybridized approach that combines a modified variant of the fitness sharing technique with a speciation based response to the changing environment. The informative dynamic niching bee colony algorithm helps to synchronize the employer and onlooker forager swarms by synergizing the local information with a modified perturbation strategy. This main crux of our algorithm is its independency of problem dependent control parameter, like niche radius, and the absence of any hard-partitioning clustering technique that leads to high computational burden. Our framework aims at bringing about a simple, robust approach that can be applied to a variety of problems. Experimental investigation is undertaken pertaining to the competitive performance of our algorithm with the existing techniques in order to highlight the significance of our work.