78 datasets found

The dataset used in the paper is a binary-signal decoding problem with a nonconvex constraint.

The dataset used in the paper is a composite minimization problem with a nonconvex and nonsmooth term.

The dataset is used to test the algorithm for minimizing a convex objective function with noisy oracle.

The dataset used in this paper is the CEC2013 benchmark functions.

The dataset used in the paper is a 2-D environment with a starting region S, a destination region D, and an obstacle region ∆. The environment is described by a starting region...

The CEC-2017 benchmark functions dataset is used to evaluate the performance of optimization algorithms. It contains 30 functions with different characteristics, including...

The dataset is used to study the optimal investment and proportional reinsurance problem of an insurance company, whose investment preferences are described via a forward...

The dataset used in the paper is a partitioned output dataset with a concave constraint.

The dataset used to test the proposed new mutation and evaluation function.

The Maximin Latin Hypercube Designs dataset is used to test the proposed new mutation and evaluation function.

The dataset used in the paper is a collection of optimization problems, including linear and quadratic programming problems, and is used to evaluate the performance of the...

The dataset used in the paper is the Traveling Salesman Problem (TSP) instances, specifically the Burma'7 instance, and six additional instances with 5 to 14 nodes.

The dataset used for the proposed efficient correlation-based discretization method for annealing machines.

Dataset for learning LED source patterns for Fourier Ptychographic Microscopy

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used various optimization algorithms to solve complex problems.

The dataset used in this paper is a high-dimensional Dixon-Price function.

The dataset used in this paper is a 30-dimensional Rosenbrock function.

The dataset used in the paper is the MATPOWER dataset.

The dataset used for the optimization of an experimental apparatus, consisting of 21 correlated parameters.

The dataset used in this paper is a collection of examples for testing the proposed neural solver for distributed elliptic optimal control problems.