They introduce a globally convergent sequential linear programming method for nonlinear programming that is then applied to the solution of classic topology optimization problems. They conclude that ...

About Nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.

Jameel, A.F. and Sadeghi, A. (2012) Solving Nonlinear Programming Problem in Fuzzy Environment. International Journal of Contemporary Mathematical Sciences, 7, 159-170.

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

A swarm-exploring neurodynamic network (SENN) based on a two-timescale model is proposed in this study for solving nonconvex nonlinear programming problems. First, by using a convergent-differential ...

Optimal power flow is generally formulated as a non-convex and non-linear programming (NLP) problem. Traditionally, the OPF problem is solved in transmission systems through approximations and/or ...

In this paper, a feasible path-based branch and bound (B&B) algorithm is proposed to solve mixed-integer nonlinear programming problems with highly nonconvex nature through integration of the ...