Examples of using Optimization problems in English and their translations into Indonesian
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Solving optimization problems.
Also primarily suited for numerical optimization problems.
Management science, optimization problems, mathematical modeling.
Dynamic programming is typically applied to optimization problems.
Management science, optimization problems, mathematical modeling.
Travel Salesman Problem is one of the most known optimization problems.
In optimization problems, heuristic algorithms can be used to find a solution close to the optimal solution in cases where finding the optimal solution is impractical.
Solve constrained optimization problems.
This algorithm hasbeen applied to search an optimum solution in many optimization problems.
There are so many optimization problems in the engineering world which are very complex in nature and quite hard to solve by conventional optimization techniques.
Trying to solve constrained optimization problems.
Calc's solver component lets you solve optimization problems in which the optimum value of a particular spreadsheet cell has to be calculated based on constraints provided in other cells.
Solving complex global optimization problems.
Differential evolution- Based on vector differences and is therefore primarily suited for numerical optimization problems.
The Google algorithm for dealing with excessive backlink optimization problems is commonly known as Google Penguin.
Among these, Genetic Algorithms are most popular andhave been successfully applied to various optimization problems.
It is a generalalgorithm for finding optimal solutions of various optimization problems, especially in discrete and combinatorial optimization. .
Nearly 25 years ago, Polyak developed a theory called nonlinear rescaling(NR)for solving constrained optimization problems.
Different techniques have been developed to solve optimization problems with more than one goal.
Of course, this is not realistic, and as our models become more realistic in the multivariate section,we will add constraints to our optimization problems.
Branch and bound(BB)is a general algorithm for finding optimal solutions of various optimization problems, especially in discrete and combinatorial optimization. .
Unfortunately, we know of no way of efficiently evaluating this particular predicate and so the TSP problem isn't easily solved by binary search, but many optimization problems are.
The heuristic method In optimization problems, heuristic algorithms can be used to find a solution close to the optimal solution in cases where finding the optimal solution is impractical.
It also uses Lévy flights,and thus it suits for global optimization problems.
Many of the most challenging optimization problems encountered in various disciplines of science and engineering, from biology and drug discovery to routing and scheduling can be reduced to NP-complete problems. .
The problems of maximization and minimization are also called optimization problems.
Quantum technology has excitedinvestors because it is particularly well-suited to solve optimization problems- from helping identify the best delivery routes for shipping companies to helping hardware designers produce more energy-efficient materials and batteries.
Programming exercises are covered in this course as well as the basic theory andmethods for the solution of optimization problems, and linear and non-linear programming.
Examples include simulating chemistry exactly to develop new molecules and materials andsolving complex optimization problems, which seek the best solution from among many possible alternatives.
TuneUp Utilities will provide you withprogress reports will show you what services and other optimization problems you have done and what benefits it has brought you.