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The glowworm swarm optimization (GSO) algorithm is an optimization technique developed for simultaneous capture of multiple optimums of multimodal functions and can be implemented in a collection of mobile robots to carry out the task of multiple source localization. In this work, we conduct embodied robot simulations by using a multi-robot-simulator called Player/Stage that provides realistic sensor and actuator models, in order to demonstrate the efficacy of the GSO algorithm in simultaneously detecting multiple sources. The study, based on embodied simulation experiments, also shows the robustness of the algorithm to implementational constraints.