Fuzzy Clustering With Derivative–Free Search Algorithm for Location of Biogas Energy Systems

In the past decades, new models and algorithms have been developed for solving various types of facility location problems using different versions fuzzy c-means algorithm its hybrid combinations. On other hand, need renewable energy sources has become even more important than ever due to increasing population, environmental pollution, climate change. this study, we proposed two revised weighted clustering-based real-life biogas problem. The first is Nelder-Mead simplex algorithm, second center-of-gravity approach. Problem solved as multi-facility Weber problem, results analyzed.