Unravel non-linear challenges using the proposed modification simplex technique. Illustrated with numerical examples and problems. In this paper, a cubic objective programming ... N. (2022) New ...

Nonlinear Programming (NLP): Optimizes a nonlinear objective function with nonlinear constraints. Challenges:Complex Solutions Multiple local optima can complicate finding the best solution.

A nonlinear programming problem consists of four main elements: a decision variable vector, an objective function, a set of constraints, and a feasible region. The decision variable vector is a ...

MATLAB Solutions: I provide MATLAB scripts and functions that implement the optimization algorithms, constraints, and objective functions for each problem. Sensitivity Analysis: For some problems, I ...

A new algorithm based on fuzzy inference is proposed for nonlinear mathematical programming. The characteristics of nonlinear programming are that the exact functional relationship between the ...

Second, the conversion to a single-objective optimization problem involves additional constraints. Third, since most real-world goal programming problems involve nonlinear criterion functions, the ...

A modified formulation of the transmission expansion planning (TEP) problem is proposed by revising the objective function and operating constraints to include the corona power loss term. Consequently ...