Objectives . A frequently used method for obtaining Pareto-optimal solutions is to minimize a selected quality index under restrictions of the other indices, whose values are thus preset. For scalar objective function, global minimum sought that contains restricted indices as penalty terms. However, landscape such function has steep-ascent areas, which significantly complicate search minimum. T...

A multi-item single-period stochastic inventory model is formulated in the fuzzy environment with budgetary, floor-space constraints. In this model, probabilistic demand is related to the unit selling price. Here fuzziness is introduced in both the objective function and constraint goals. The problem is solved using the fuzzy nonlinear technique for linear membership functions. The model is ill...

appropriate scheduling and sequencing of tasks on machines is one of the basic and significant problems that a shop or a factory manager encounters; this is why in recent decades extensive studies have been done on scheduling issues. one type of scheduling problems is just-in-time (jit) scheduling and in this area, motivated by jit manufacturing, this study investigates a mathematical model for...

In this paper, a new reactive power market clearing (RPMC) mechanism for day-ahead competitive electricity market is developed based on multi-objective optimization approach. In proposed mechanism, three objective functions such as total payment function (TPF) for reactive power support from generators and synchronous condensers, total real transmission loss (TRTL) and voltage stability enhance...

Planning for the optimal use of productive resources in agricultural systems leads to the conservation in addition to the promotion of farmers’ socio-economical conditions. Being certain or precise in any decision making in agricultural planning is impossible. Fuzzy mathematical programming techniques, developed in recent decades, are the most appropriate and applicable approaches to include th...

A utility function is an important tool for representing a DM’s preference. We adjoin utility functions to multi-objective optimization problems. In current studies, usually one utility function is used for each objective function. Situations may arise for a goal to have multiple utility functions. Here, we consider a constrained multi-objective problem with each objective having multiple utili...

Abstract Component-Based Software Engineering (CBSE) is an approach to building and developing software systems based on components. In component-based systems, there are various components, including Commercial off the Shelf (COTS) in-house developers can build their desired component as or COTS. The problem of deciding optimally between COTS components one major challenges developers, which k...