today, transportation of hazardous materials (i.e., hazmat) is a very important issue for researchersdue to the risk of this transit, which should be considered for development of industries and transportation.therefore, a model that is useful should consider the risk and damage to humanitarianand environmental issues due to transit of hazmat materials. by considering the related cost, thereali...

in a robust parameter design (rpd) problem, the experimenter is interested to determine the values of con-trol factors such that responses will be robust or insensitive to variability of the noise factors. response sur-face methodology (rsm) is one of the effective methods that can be employed for this purpose. since quality of products or processes is usually evaluated through several quality ...

Approximate Computing (AxC) paradigm aims at designing computing systems that can satisfy the rising performance demands and improve energy efficiency. AxC exploits gap between level of accuracy required by users, actual precision provided system, for achieving diverse optimizations. Various techniques have been proposed so far in literature different abstraction levels from hardware to softwar...

Support Vector Machines (SVMs), originally proposed for classifications of two classes, have become a very popular technique in the machine learning field. For multi-class classifications, various single-objective models and multi-objective ones been proposed. However,in most models, neither different costs misclassifications nor users’ preferences were considered. This drawback has taken into ...

In this paper, we focus on the symmetrical relationship between multi-properties objective reachability problems and multi-objective sets over FKS based Zadeh logic. First, give formal definitions of those two problems. Then, study their relationships find that a problem special case have symmetry. Finally, polynomial time algorithm symmetry to convert problem. addition, an illustrative example...

The objective of this paper is to investigate a multi-objective linear quadratic Gaussian (LQG) control problem. Specifically, we examine an optimal problem that minimizes cost over finite time horizon for stochastic systems subject energy constraints. To tackle problem, propose efficient bisection line search algorithm outperforms other approaches such as semidefinite programming in terms comp...