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Simultaneous Localization of Signal Sources Inspired by Butterfly Paradigm

Nature is the source of the huge number of species with many unknown and hidden things. In those, Butterfly is one of the specialized creatures with its prominent behavior. Recently, a metaphor named as Butterfly Mating Optimization (BMO) was developed to solve the multimodal optimization problems. To imitate this algorithm a mobile robot (Bflybot) was designed to meet the features of the Bfly in the BMO algorithm. This paper presents an investigation of the simultaneous localization of multiple signal sources. Subsequently, various strategies are annotated while Bflybots are converged towards multiple signal sources. The experimental result shows that the BMO algorithm is applicable to detect multiple signal sources with significant variations in their movements i.e., static and dynamic.