This paper introduces a constrained recon gurable mesh model which incorporates practical assump tions about propagation delays on large sized buses Simulations of optimal recon gurable mesh algo rithms on the constrained recon gurable mesh model are found to be non optimal Optimal solutions for the sorting and convex hull problems are then presented For the problems investigated the con strain...

This paper provides a study of integer linear programming formulations for the diameter con-strained spanning tree problem (DMSTP) in the natural space of edge design variables. Afterpresenting a straightforward model based on the well known jump inequalities a new stronger familyof circular-jump inequalities is introduced. These inequalities are further generalized in two ways:...

This paper is concerned with a trust region ap proximationmanagement framework AMF for solv ing the nonlinear programming problem in general and multidisciplinary optimization problems in par ticular The intent of the AMF methodology is to facilitate the solution of optimization problems with high delity models While such models are designed to approximate the physical phenomena they describe t...

There are varieties of QFD combination forms available that can help management to choose the right model for his/her types of problem. The proposed MOCC-QFD-FMEA model is a right model to include variety of objectives as well as the risk factors into the model of the problem. Due to the fact that the model also takes into consideration the concept of Fuzzy set, it further allows management...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...