Particle Swarm Optimization (PSO) is a metaheuristic optimization algorithm that owes much of its allure to its simplicity and its high effectiveness in solving sophisticated optimization problems. However, since the performance of the standard PSO is prone to being trapped in local extrema, abundant variants of PSO have been proposed by far. For instance, Fuzzy Adaptive PSO (FAPSO) algorithms ...

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terminal heat and drought are the main constraints for wheat production in the vast and diverse semi-tropical rainfed regions of iran. high temperature stress during wheat’s reproductive stage is particularly detrimental, reducing both individual kernel weight and kernel number. identification of adapted genotypes can improve grain yield and its stability under heat stress conditions. selection...

Abstract. Global wind profiles from the Aeolus satellite mission provide an important source of information for numerical weather prediction (NWP). Data assimilation experiments show large mean changes in analysis and a significant reduction forecast errors. At Deutscher Wetterdienst (DWD), 3-month observing system experiment (OSE), July 2020 to October 2020, was performed evaluate impact horiz...