Examples of using Combinatorial optimization in English and their translations into Portuguese
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Combinatorial optimization: algorithms and complexity.
A differential evolution algorithm was implemented to combinatorial optimization.
Combinatorial optimization problems are widely studied in the literature.
So this problem can be classified as a combinatorial optimization problem.
A trend in combinatorial optimization research has been the exploration of hybrid metaheuristics.
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The traveling salesman problem(tsp)is a classical combinatorial optimization problem.
It attempts to solve ordering combinatorial optimization problems, the most well-known of which is the traveling salesman problem tsp.
Several real-world problems can be stated as a combinatorial optimization problem.
The term combinatorial optimization is typically used when the goal is to find a sub-structure with a maximum(or minimum) value of some parameter.
To do so, FIRST puts a strong emphasis on constraint technologies and combinatorial optimization.
The problem is approached as a combinatorial optimization problem and a formulation is proposed.
He has published extensively on topics in graph theory,combinatorics, and combinatorial optimization.
An NP-optimization problem(NPO)is a combinatorial optimization problem with the following additional conditions.
The mathematical modeling of this problem proposed in this paper creates a problem of combinatorial optimization.
We designed the Digital Annealer to solve real-world combinatorial optimization problems that all industries are encountering.
The school bus routing problem(sbrp) is an important practical problem,studied in combinatorial optimization.
NP optimization problem===An"NP-optimization problem"(NPO)is a combinatorial optimization problem with the following additional conditions.
Network problems that involve finding an optimal way of doing something are studied under the name combinatorial optimization.
The vehicle routing problem(vrp)is a classic problem of combinatorial optimization extensively studied in the literature because of its practical importance.
Michel Xavier Goemans(born December, 1964) is a Belgian-American professor of applied mathematics at MIT working in discrete mathematics and combinatorial optimization.
However, for ordering combinatorial optimization problems, order-based genetic algorithms are more adequate than those with binary representation.
The timetabling problem is of great interest in the combinatorial optimization field.
In this work, we propose a new combinatorial optimization problem involving strings called maximum similarity partitioning problem.
An optimization problem with discrete variables is known as a combinatorial optimization problem.
Vehicle routing problems constitute a well-known class of combinatorial optimization problems, from which the traveling salesman problem(tsp) is one of the most elementary problems.
This problem has many applications in manufacturing industries andbelongs to the class of combinatorial optimization problems np-hard.
Combinatorial optimization, performance analysis techniques, computational geometry, formal languages and machines, graph algorithms, and algorithmic combinatorial game theory.
He became fellow of the US National Academy of Engineering for contributions to complexity theory,database theory, and combinatorial optimization.
In this research project our goal is to contribute to the advancement of the Combinatorial Optimization field focusing, in particular, in cutting and packing problems.
He became fellow of the U.S. National Academy of Engineering for contributions to complexity theory,database theory, and combinatorial optimization.