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...

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

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

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

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

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

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

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

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

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

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

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...

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

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

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

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

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

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

the article on matching polynomials. A fundamental problem in combinatorial optimization is finding a maximum matching. This problem has various algorithms...

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

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

salesman problem (bottleneck TSP) is a problem in discrete or combinatorial optimization. The problem is to find the Hamiltonian cycle (visiting each node...

value). Optimization of this objective is carried out using some form of discrete or combinatorial optimization. Most campaign creatives are optimized statically...

Convex optimization is a subfield of mathematical optimization that studies the problem of minimizing convex functions over convex sets (or, equivalently...

requires unreasonably many steps. In mathematical optimization, greedy algorithms optimally solve combinatorial problems having the properties of matroids and...

Alberto; Protasi, Marco (2003), Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties, Springer. Maximum...

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...

Evolutionary Optimization Algorithms, John Wiley & Sons, pp. 449–450, ISBN 9781118659502, The knight's tour problem is a classic combinatorial optimization problem...