System optimization is a research area that focuses on improving the overall performance, efficiency, and effectiveness of complex systems. This can include a wide range of systems such as manufacturing processes, transportation networks, communication systems, and computer networks. The goal of system optimization is to identify the best possible configuration or set of parameters that will maximize the desired outcomes while minimizing costs, resources, and other constraints. This often involves using mathematical models, algorithms, and computer simulations to analyze and optimize system performance. System optimization is a multidisciplinary field that draws from mathematics, engineering, computer science, economics, and other disciplines. Researchers in this area develop and apply a variety of optimization techniques, such as linear programming, integer programming, genetic algorithms, and simulated annealing, to solve complex optimization problems in a wide range of industries and applications.