Combinatorial optimization is a subfield of mathematical optimization that consists of finding an optimal object from a finite set of objects, where the...

Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best...

analogies between counting and measure. Combinatorial optimization is the study of optimization on discrete and combinatorial objects. It started as a part of...

Discrete optimization is a branch of optimization in applied mathematics and computer science. As opposed to continuous optimization, some or all of the...

science and economics, an optimization problem is the problem of finding the best solution from all feasible solutions. Optimization problems can be divided...

unconstrained binary optimization (QUBO), also known as unconstrained binary quadratic programming (UBQP), is a combinatorial optimization problem with a wide...

stochastic optimization, so that the solution found is dependent on the set of random variables generated. In combinatorial optimization, there are many...

A Tutorial on Integer Programming Conference Integer Programming and Combinatorial Optimization, IPCO The Aussois Combinatorial Optimization Workshop...

The knapsack problem is the following problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine which items...

and returns to the origin city?" It is an NP-hard problem in combinatorial optimization, important in theoretical computer science and operations research...

generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from...

Convex hulls have wide applications in mathematics, statistics, combinatorial optimization, economics, geometric modeling, and ethology. Related structures...

Alexander (2003), Combinatorial Optimization, Springer, ISBN 3-540-44389-4 Lee, Jon (2004), A First Course in Combinatorial Optimization, Cambridge University...

geometry, combinatorial optimization, digital geometry, discrete differential geometry, geometric graph theory, toric geometry, and combinatorial topology...

combined with global search, and can be used for both combinatorial optimization and continuous optimization. The only condition for the application of the bees...

fields. Matroids have found applications in geometry, topology, combinatorial optimization, network theory, and coding theory. There are many equivalent...

citation networks, molecular biology, chemistry, physics and NP-hard combinatorial optimization problems. Open source libraries implementing GNNs include PyTorch...

relaxations for the linear ordering problem". Integer Programming and Combinatorial Optimization: 8th International IPCO Conference, Utrecht, The Netherlands,...

The European Chapter on Combinatorial Optimization (also, EURO Working Group on Combinatorial Optimization, or EWG ECCO) is a working group whose objective...

In mathematical optimization theory, duality or the duality principle is the principle that optimization problems may be viewed from either of two perspectives...

solutions to Combinatorial Optimization problems. QuEra actively conducts research in Condensed Matter Physics and combinatorial optimization using neutral...

Probabilistic combinatorics Topological combinatorics Coding theory Combinatorial optimization Combinatorics and dynamical systems Combinatorics and physics...

The assignment problem is a fundamental combinatorial optimization problem. In its most general form, the problem is as follows: The problem instance has...

completing a doctoral dissertation titled "The complexity of combinatorial optimization problems." Papadimitriou has taught at Harvard, MIT, the National...

In graph theory and combinatorial optimization, Guan's route problem, the Chinese postman problem, postman tour or route inspection problem is to find...

numerous optimization tasks involving some sort of graph, e.g., vehicle routing and internet routing. As an example, ant colony optimization is a class...

Kenneth Steiglitz (1998). "6.1 The Max-Flow, Min-Cut Theorem". Combinatorial Optimization: Algorithms and Complexity. Dover. pp. 120–128. ISBN 0-486-40258-4...

Random optimization (RO) is a family of numerical optimization methods that do not require the gradient of the optimization problem and RO can hence be...

by using another overlaying optimizer, a concept known as meta-optimization, or even fine-tuned during the optimization, e.g., by means of fuzzy logic...

searched or some type of average. Brute-force search Combinatorial explosion Combinatorial optimization Search algorithm State space search Russell and Norvig...