A New Evolutionary Algorithm developed for Global Optimization (BBO)

Biogeography based optimization (BBO) is a type of evolutionary algorithm. It is a population based optimization algorithm and provides clarification about the changing distribution of all species in different environment with time. Biogeography-based Optimization (BBO) is a new intelligent optimization algorithm, which was developed by the simulation of the migration of biological organisms on the basis of an overall analysis of the activities in colonial organisms. More and more researchers have focused on BBO due to its unique search mechanism and good optimization performance. BBO is an evolutionary process that achieves information sharing by species migration. This paper proposes a Biogeography Based optimization approach for automatically grouping the pixels of an image into different homogeneous regions. Biogeography is the study of the geographical distribution of biological organisms. BBO is basically an optimization techniques it does not involve reproduction or the generation of “children.” From many years Image segmentation are done with many techniques like PSO, ACO, clustering algorithms, GA, ABC etc. This paper elaborates BBO approach for image segmentation i.e. partitioning an image into multiple segments.