The main reasons for these problems are analyzed. A global optimization algorithm based on Support Vector Machines of the inverse electromagnetic problem solution is presented. The numerical ...

Also needed for the SIM algorithm is the Intersection(center, radius and normal vector set) computation. They are done by Get_Intersection and Get_Intersection_1S. Several variants are available for ...

To address this issue, we propose an evolutionary algorithm for many-objective optimization based on indicator and vector-angle decomposition, termed IVAD. In the proposed algorithm, the objective ...

In this paper, an improved optimization algorithm (GSP_SVM) is proposed by combining genetic algorithm, particle swarm optimization and simulated annealing with support vector machine algorithm ...

algorithm is a commonly used quasi-Newton method for numerical optimization in Euclidean spaces. Riemannian LBFGS (RLBFGS) is an extension of this method to Riemannian manifolds. RLBFGS involves ...

The goal of a numerical optimization problem is to find a vector of ... is minimizing the Sphere Function f(x0, x1, .. xn) = x0^2 + x1^2 + .. + xn^2. The optimal solution is X = (0, 0, .. 0) when f(X) ...