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This paper presents a problem of odor source localization in a dynamic environment, which means the odor distribution is changing over time. Odor source localization is an interesting application in dynamic problems. Modified particle swarm optimization is a well-known algorithm, which can continuously track a changing optimum over time. PSO can be improved or adapted by incorporating the change detection...
The odor distribution advection-diffusion environments in obstacle environment have been developed. In real world the odor distribution are changing over time and multi peaks especially in obstacle environments. The purpose of developing this environment is to bridge the gap between the very complex hard to understand real-world problem (odor dispersion model) and all too simple toy problems (dynamic...
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