Abstract

Bio-inspired algorithms are a class of algorithms that translate complex behaviors from nature, such as the movement of ants, into code and then modify them to solve computational problems. One in particular, the Firefly algorithm, mimics the flashing of fireflies for sexual selection, and then solves optimization problems by representing solutions as mobile fireflies. In this project, a new version of the firefly algorithm will be developed by examining the limiting assumptions on the existing version. For example, all fireflies are currently considered unisexual, which could be changed to male and female variants. To optimize the algorithm, extensive coding and testing using Matlab will be performed to determine and quantify performance issues as well as areas of improvement. Applications of the improved algorithm include evolving areas such as Cyber Physical systems, particularly the robotic Dragonfly aerial vehicle. 


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Subpages (1): References