Description about the Internship This short-term course on Hydroinformatics is about an internship program proposed for 2025, aimed at minimizing the climatic impact on water and water-based renewable energy systems. The internship will last two months and can be completed online or offline. The goal is to find the best possible mitigation alternatives for the minimization of climate change's impact on these systems. The first objective is to determine if these systems are truly impacted by climate change. If so, how can they be mitigated? Artificial intelligence-based models like group method of data handling will be employed to predict the climate change impact on the output of these systems. The second objective is to propose multiple alternatives and collect multiple mitigative alternatives. The internship will involve consulting literature on the topic and identifying the best alternative among them. The team will use MCDM techniques, such as the nature-inspired optimization t...
The Hummingbirds Optimization Algorithm is a nature-inspired optimization algorithm that mimics the efficient and agile search strategy of hummingbirds in finding optimal solutions to complex problems. This algorithm has been widely adopted in fields such as engineering, computer science, and finance due to its ability to handle large-scale problems, adaptability to different problem domains, and robustness in finding near-optimal solutions. The algorithm's versatility and effectiveness have led to its successful implementation in solving diverse optimization problems across various industries. It has been used in engineering and design to optimize various systems and processes, such as structural design, control systems, and renewable energy. It has also been utilized in data mining and machine learning to enhance the efficiency of algorithms and improve predictive modeling. Future prospects for the algorithm include incorporating parallel computing techniques to enhance speed and...