This study proposes an improved vector-weighted averaging algorithm (IDEINFO) for the optimization of different problems. The original (INFO) uses weighted entity structures and three core procedures to update positions vectors. First, rule phase is based on law convergence acceleration generate new Second, vector combination combines obtained vectors with rules achieve a promising solution. Th...

support vector regression (svr) solves regression problems based on the concept of support vector machine (svm). in this paper, a new model of svr with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

In this paper, we present the concept of generalized invexity for vector-valued functions. Also, we consider different kinds of generalized vector variational-like inequality and a vector optimization problem. Some relations between vector variational-like inequalities and a vector optimization problem are established by using the properties of Mordukhovich limiting subdifferential. Acknowledge...