Examples of using Optimization problems in English and their translations into Portuguese
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Optimization problems are present in several areas of society and the use of
Optimization problems which have two or more global optimal solutions are known as global multimodal problems. .
A computational framework is developed in matlab for solving topology optimization problems using unstructured polygonal meshes in arbitrary two-dimensional domains.
Present a technique for solving optimization problems under linear constraints involving only two technical variables.
The framework is used as an original tool to solve topology optimization problems using the finite element method with millions of elements.
References====External links==* A compendium of NP optimization problems*"A Bibliography of Harmonious Colourings and Achromatic Number" by Keith Edwards.
In modern times, optimization problems are solved almost always with the aid of computational devices.
This work considers convex optimization problems with a separable structure,
The method of Lagrange multipliers is widely used to solve challenging constrained optimization problems.
It proposes the use of genetic algorithms(ga¿s), a tool used in operational research to solve optimization problems, especially when one does not know the mathematical model of the plant.
The artificial bee colony algorithm(abc) is a bio-inspired algorithm proposed in 2005 for solving multimodal and multidimensional optimization problems.
This work presents a method for solving constrained nonsmooth and nonconvex optimization problems.
This work aims to present a study to solve some optimization problems involving trigonometric functions.
approximation algorithms are algorithms used to find approximate solutions to optimization problems.
consists of an autonomous multi-agent system for solving optimization problems of different classes.
inspired by natural social behavior is a metaheuristic that has been successfully applied in solving combinatorial optimization problems.
scientific applications to effectively solve combinatorial optimization problems.
which uses basic concepts of immunology for solving combinatorial optimization problems.
to facilitate the efficient use and to address optimization problems.
search engine optimization problems.