The increasing demand for accessing heterogeneous information sources to support global applications and decision making requirements forces organizations to solve heterogeneity problems. One of the important problems stemming from accessing the heterogeneous data is semantic heterogeneity. A number of research efforts have been proposed to address this problem, ranging from mediator-based syst...

Despite improvements in glenoid prosthesis design, materials and surgical techniques, complications related to the glenoid component continue to be a leading cause of failure after total shoulder arthroplasty. Although previously felt to be of little clinical significance, radiolucent lines around the glenoid prosthesis are now recognized as a sign of impending mid and long term fixation proble...

The increasing demand for accessing heterogeneous information sources to support global applications and decision making requirements forces organizations to solve heterogeneity problems. One of the important problems stemming from accessing the heterogeneous data is semantic heterogeneity. A number of research efforts have been proposed to address this problem, ranging from mediator-based syst...

The recent years have witnessed an increasing attention to the methods of multiple attribute decision making in solving the problems of the real world due to their shorter time of calculation and easy application. One of these methods is the ‘permutation method’ which has a strong logic in connection with ranking issues, but when the number of alternatives increases, solving problems through th...

The p-median problem is one of the discrete optimization problem in location theory which aims to satisfy total demand with minimum cost. A high-level algorithmic approach can be specialized to solve optimization problem. In recent years, meta-heuristic methods have been applied to support the solution of Combinatorial Optimization Problems (COP). Collision Bodies Optimization algorithm (CBO) a...

With the advent of deregulation in electricity markets and an increasing share of intermittent power generation sources, time-sensitive electricity prices (as part of so-called demand-side management in the smart grid) offer potential economical incentives for large industrial customers. These incentives have to be analyzed from two perspectives. First, on an operational level, aligning the pro...

The increasing demand for accessing heterogeneous information sources to support global applications and decision-making requirements forces organizations to solve heterogeneity problems. One of the important problems stemming from accessing the heterogeneous data is semantic heterogeneity. A number of research efforts have been proposed to address this problem, ranging from mediatorbased syste...

Constraint programming (CP) systems are useful for solving real-life combinatorial problems, such as scheduling, planning, rostering and routing problems. The design of modern CP systems has evolved from a monolithic to an open design in order to meet the increasing demand for application-specific customization. It is widely accepted that a CP system needs to balance various design factors such...

In this paper, the strategic planning of a supply chain under a static chain-to-chain competition on the plane is addressed. It is assumed that each retailer has a coverage area called the radius of influence. The demand of each demand zone is divided equally between the retailers which can cover that market. However, the demand of distant customers who are not in the retailers’ radius of influ...

The alternating direction method is an attractive method for a class of variational inequality problems if the subproblems can be solved efficiently. However, solving the subproblems exactly is expensive even when the subproblem is strongly monotone or linear. To overcome this disadvantage, this paper develops a new alternating direction method for cocoercive nonlinear variational inequality pr...