Many actual situations can be represented in a realistic manner by the two-stage stochastic nonlinear programming problem MinxEmin y[φ (x)+ψ (y)] subject to g(x)+h(y)≥ b, where b is a random vector ...

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

In industrial sectors, many optimization problems arise while controlling technological processes. It is often the optimization tasks to maximize profit and production or minimize costs, loss in ...

The pedestrian’s position and velocity are measured sequentially, and the robot’s trajectory is generated based on the results using a nonlinear programming method, followed by Model Predictive ...