Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.