In subject area: Computer Science An optimization problem refers to a task of finding the best solution from a set of feasible solutions, which satisfy all the constraints defined by the problem. It involves identifying the optimal values for decision variables in order to either minimize or maxim...
But usually the situation is much more complex and the problem of calculating the state with the lowest energy is highly non-trivial. This occurs typically in systems with quenched disorder and/or frustration, which means that their Hamiltonian or energy function consists of competing terms that ...
In subject area: Computer Science Distributed optimization refers to the process of solving an optimization problem in a decentralized manner, where multiple entities collaborate to achieve an optimal solution. It involves the use of techniques such as dual decomposition, alternate direction method of mu...
In the field of computer vision, computer scientists extract knowledge from an image by manipulating it through image transforms. In the mathematical language of image algebra an image transformation often corresponds to an image-template product. When performing this operation on a computer, savings i...
Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost pr
This problem occurs in many areas of engineering and applied science such as machine learning, control, and computer vision. We develop a graph-theoretic technique in Part I that is able to generate a low-rank solution for a sparse Linear Matrix Inequality (LMI), which is directly applicable ...
(NSGA-III), which effectively solved the high-dimensional multi-objective optimization problem, and is one of the most advanced methods at present. The results have been published in IEEE Trans.on EC (SCI IF= 16.497) and other journals, and have been applied to the optimization of ...
The first problem is robust optimization, which has direct applications to engineering design. Traditionally robust optimization problems have been solved using an inner-outer structure, which can be computationally expensive. This dissertation provides a method to decompose and solve this two-level ...
Problem setting objective function : clsBenchTest2(x1,x2) = x1^4 - 20x1^2 + 20x1 + x2^4 - 20x2^2 + 20x2 boundary variables x1 -> 0.0 to 5.0 x2 -> 1.0 to 4.0 for VB.NET 'Set boundary variableopt.LowerBounds=NewDouble(){0,1.0}opt.UpperBounds=NewDouble(){5,4.0}'Initopt...
A CO problem can be modeled by a set of variables to find a satisfying solution respecting a set of constraints while optimizing an objective function. From: Comprehensive Metaheuristics, 2023 About this pageAdd to MendeleySet alert Also in subject area: Computer ScienceDiscover other topics On th...