Examples of using Combinatorial optimization in English and their translations into Spanish
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What, combinatorial optimization?
The VRPTW is one of the most studied problems in the field of combinatorial optimization.
As a combinatorial optimization problem?
Keywords: harvest assignment forest;traveling salesman problem; combinatorial optimization.
See also combinatorial optimization problems.
Palabras clave: harvest assignment forest;traveling salesman problem; combinatorial optimization.
It's a classic combinatorial optimization problem.
Combinatorial optimization is the study of optimization on discrete and combinatorial objects.
These were Discrete Mathematics and Combinatorial Optimization, and Numerical Statistical Modelling. GENERAL OVERVIEW.
Branch and bound(BB or B&B) is an algorithm design paradigm for discrete and combinatorial optimization problems.
The 3AP-axial is a combinatorial optimization problem belonging to the NP-hard class;
The new function KnapsackSolve provides an easy anduser-friendly way for solving combinatorial optimization problems such as the knapsack problem.
Palabras clave: Combinatorial optimization; tetraheuristics; systems thinking; travelling salesman problem.
Marek Karpinski is a computer scientist andmathematician known for his research in the theory of algorithms and their applications, combinatorial optimization, computational complexity, and mathematical foundations.
It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.
Sinclair's research interests include the design and analysis of randomized algorithms, computational applications of stochastic processes and nonlinear dynamical systems,Monte Carlo methods in Statistical Physics, and combinatorial optimization.
Combinatorial optimization is concerned with problems where the set of feasible solutions is discrete or can be reduced to a discrete one.
The quadratic assignment problem(QAP) is one of the fundamental combinatorial optimization problems in the branch of optimization or operations research in mathematics.
Combinatorial optimization is a subset of mathematical optimization that is related to operations research, algorithm theory, and computational complexity theory.
Tabu search(TS) is a metaheuristic algorithm that can be used for solving combinatorial optimization problems problems where an optimal ordering and selection of options is desired.
Aspects include"counting" the objects satisfying certain criteria(enumerative combinatorics), deciding when the criteria can be met, and constructing and analyzing objects meeting the criteria(asin combinatorial designs and matroid theory), finding"largest","smallest", or"optimal" objects(extremal combinatorics and combinatorial optimization), and finding algebraic structures these objects may have algebraic combinatorics.
Branch and cut is a method of combinatorial optimization for solving integer linear programs(ILPs), that is, linear programming(LP) problems where some or all the unknowns are restricted to integer values.
Discrete geometry has a large overlap with convex geometry and computational geometry, andis closely related to subjects such as finite geometry, combinatorial optimization, digital geometry, discrete differential geometry, geometric graph theory, toric geometry, and combinatorial topology.
The vehicle routing problem(VRP)is a combinatorial optimization and integer programming problem which asks"What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to a given set of customers?
His citation for the(1985) Turing Award was as follows:For his continuing contributions to the theory of algorithms including the development of efficient algorithms for network flow and other combinatorial optimization problems, the identification of polynomial-time computability with the intuitive notion of algorithmic efficiency, and, most notably, contributions to the theory of NP-completeness.
TSP is a touchstone for many general heuristics devised for combinatorial optimization such as genetic algorithms, simulated annealing, tabu search, ant colony optimization, river formation dynamics(see swarm intelligence) and the cross entropy method.
Bullet Solutions is proudly an active member of the scientific community specialized in combinatorial optimization and operations research, with several research papers published, further elevating the company's name as a reference on this community.
The information obtained in IoE scenarios can be exploited in combination with combinatorial optimization techniques to facilitate the development and understanding of complex dynamics in real environments such as cities, roads or dynamic systems in general.
A problem is said to be strongly NP-hard if a strongly NP-complete problem has a polynomial reduction to it; in combinatorial optimization, particularly, the phrase"strongly NP-hard" is reserved for problems that are not known to have a polynomial reduction to another strongly NP-complete problem.