Meanwhile, the trajectory generation is formulated as a convex optimization problem with a nonlinear objective function and constraints. Then, the problem is solved with a typical linear programming ...

Section 3 introduces the example ... in the objective function and constraint equations. Alternative methods have been developed to solve large problems, like the interior point algorithm (Roos et al.

The mathematical formulations and algorithms for two-stage and multistage stochastic programming are reviewed with illustrative examples ... The objective of stochastic programming is to optimize the ...

The framework is constructed using mixed-integer linear programming ... complex due to additional objectives such as emission reductions and job creation/retention as well as additional economic, ...

Matlab based optimizer framework for Sequential Linear Programming (SLP ... filter monitors progression of the penalized objective function (the merit function), and the associated non-linear ...

The computer application of our algorithm has also been discussed by solving some numerical examples ... The problem said to be multi-objective linear programming problem (MOLPP) if all the objective ...