There are many real problems in which multiple responses should be optimized simultaneously by setting of process variables. One of the common approaches for optimization of multi-response problems is desirability function. In most real cases, there is a correlation structure between responses so ignoring the correlation may lead to mistake results. Hence, in this paper a robust approach based ...

this study is investigated the optimum parameters for a tuned mass damper (tmd) under the seismic excitation. shuffled complex evolution (sce) is a meta-heuristic optimization method which is used to find the optimum damping and tuning frequency ratio for a tmd. the efficiency of the tmd is evaluated by decreasing the structural displacement dynamic magnification factor (ddmf) and acceleration ...

This is the first issue of 2008 and it is a very dense one with a Scientific contribution on computational biology, some announcements, reports of conferences and events, the MPS Chairs Column. Thus, the extra space is limited but we like to use few additional lines for introducing a new feature we are particularly happy with. Starting with issue 76 there will be a Discussion Column whose conte...

In  this  paper,  a  method  is  presented  for  damage  detection  of  bridges  using  the  Enhanced Colliding Bodies Optimization (ECBO)  utilizing time-domain responses. The finite element modeling of the structure is based on  the equation of motion under the moving load, and the flexural stiffness of the structure is determined by the acceleration responses obtained via sensors placed in d...

Knowledge-based protein potentials are simplified potentials designed to improve the quality of protein models, which is important as more accurate models are more useful for biological and pharmaceutical studies. Consequently, knowledge-based potentials often are designed to be efficient in ordering a given set of deformed structures denoted decoys according to how close they are to the releva...

this study concerns with a trust-region-based method for solving unconstrained optimization problems. the approach takes the advantages of the compact limited memory bfgs updating formula together with an appropriate adaptive radius strategy. in our approach, the adaptive technique leads us to decrease the number of subproblems solving, while utilizing the structure of limited memory quasi-newt...

Antisense oligodeoxynucleotides targeted to bcr-ab1 are potential ex vivo purging agents for use with autologous bone marrow transplantation in the treatment of chronic myeloid leukemia (CML). We investigated, in a cell-free system, the activity and nuclease resistance of phosphodiester, phosphorothioate, chimeric methylphosphonate/phosphodiester, and chimeric methylphosphonate/phosphorothio...