Multi-objective non-linear programming problem with rough interval parameters: an application in municipal solid waste managementOriginal Article Open access Published: 09 January 2024 Volume 10, pages 2983–3002, (2024) Cite this article Download PDF You have full access to this open access article...
An inexact Newton algorithm for large sparse equality constrained non-linear programming problems is proposed. This algorithm is based on an indefinitely preconditioned smoothed conjugate gradient method applied to the linear KKT system and uses a simple augmented Lagrangian merit function for Armijo type...
Get PDF (804K) Abstract Results are presented of an investigation as to the computational efficiency of several non-linear programming algorithms on the constrained structural weight optimization of plane trusses and plane stress plates. The optimization algorithms considered are the methods of sequential...
non-linear yield criterion can be directly introduced into the kinematic shakedown theorem without linearization and a non-linear, purely kinematic formulation is obtained. The corresponding finite element formulation is developed as a non-linear mathematical programming problem subject to only a small num...
the scorecard computer configured to execute an adaptive random tree computer program to generate a scorecard for each segment of the population based on the model, and to enhance the scorecard for each segment using a integer non-linear programming computer program to determine reactions of each se...
In this paper, we present a novel MADM method using the non-linear programming (NLP) methodology with the hyperbolic tangent function [2] and IVIFVs, where both the decision matrix (DM) and the attributes’ weights are expressed by IVIFVs. First, our method constructs the transformed decisio...
But in stochastic and probabilistic programming, several different scenarios need to be applied to the problem, which leads to a slow convergence time. They also need to extract the probability distribution function (PDF) for any uncertainty parameter2,5. This can also be extracted in implementing...
You may already be able to spot the problem in this scatter plot, but you’ll come back to it a bit later. For now, you can use the x_ and y_ vectors above to create a simulation of the moving planet. You’ll need to import matplotlib.animation for this: Python import matplotli...
In general, a multiobjective programming problem is formulated as the following vector minimization problem: min f (x) := f(x), . . . , fk(x) , s.t. g(x) := g(x), . . . , gm(x) x ∈ X, , (CVP) where X is a nonempty set of Rn, fi (i ∈ K ) and...
The present invention is a non-linear genetic algorithm for problem solving. The iterative process of the present invention operates on a population of problem solving entities. First, the activated entities perform, producing results. Then the results are assigned values and associated with the produ...