Artificial Bee Co lony (ABC) is one of the latest swarm algorith m based on the intelligent foraging behavior of honey bees introduced in the year 2005 by Karaboga since then it has been used for optimizat ion of various solutions. And it is recently introduced for processing and analysis of images such as segmentation, object recognition and image retrieval. Fusing images fro m a vast collection of different images has become one of the interesting challenges and has drawn the attention of researchers towards the development of fusion techniques. In this paper, we have p roposed the usage of ABC for optimal fusion of mult i-temporal images and studied the effect of variat ion in the source area.

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