No algorithm for optimizing general nonlinear functions exists that will always find the global optimum for a general nonlinear minimization problem in a reasonable amount of time. Since no single ...

See "Nonlinear Optimization and Related Subroutines" for a listing of all NLP subroutines. See Chapter 11, "Nonlinear Optimization Examples," for a description of the inputs to and outputs of all NLP ...

Derivative-free optimisation techniques have emerged as indispensable tools in addressing complex problems where gradient information is either unavailable or unreliable. Such methods bypass the need ...

The challenge of resource allocation for UAV swarms in dynamic and uncertain electromagnetic environments has been investigated for years. In a recent breakthrough published in the Chinese Journal of ...

Universities are complex institutions with multidimensional objectives. Lack of understanding of the "production process" for teaching and research, and a lack of approved procedures for making cost ...