Abstract This paper focuses on two aspects of feedrate optimization via linear programming methods. Namely, the effect curve sampling time optimality resultant profile and a method adaptation in response to override command. A comparison three distinct approaches (uniform parameter, uniform arc length curvature adaptive) is performed series standard tool path curves. Results show that curvature...

A very useful multi-objective technique is goal programming. There are many methodologies of goal programming such as weighted goal programming, min-max goal programming, and lexicographic goal programming. In this paper, weighted goal programming is reformulated as goal programming with logarithmic deviation variables. Here, a comparison of the proposed method and goal programming with weighte...

classical deterministic inventory models consider the demand rate to be either constant or time-dependent but independent from the stock status. however, for a certain type of inventory, the demand rate may be in-fluenced by the stock level. also in many real-life problems, some products such as fruits, vegetables, phar-maceuticals and volatile liquids continuously deteriorate to evaporation, o...

in this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. the proposed method in this paper is applied to a problem with two objective functions. the re-sulted fuzzy model is transformed into an ordinary linear programming. the implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

Semidefinite programming has been an interesting and active area of research for several years. In semidefinite programming one optimizes a convex (often linear) objective function subject to a system of linear matrix inequality constraints. Despite its numerous applications, algorithms for solving semidefinite programming problems are restricted to problems of moderate size because the computa...

Fuzzy linear programming problem occur in many elds such as mathematical modeling, Control theory and Management sciences, etc. In this paper we focus on a kind of Linear Programming with fuzzy numbers and variables namely Fully Fuzzy Linear Programming (FFLP) problem, in which the constraints are in inequality forms. Then a new method is proposed to ne the fuzzy solution for solving (FFLP). Nu...

this study was conducted to determine timeliness costs in using machinery and their effects on farmers’ revenues. in addition, optimum cropping pattern was compared with the existing one assuming removal of timeliness cost. for the purpose of the study, mixed integer and linear programming methods were used. the study was conduced in marvdasht region in southern iran. the data were collected th...

land use optimization is one of the appropriate methods for soil conservation which helps decision makers and watershed planners in order to make the optimum decision among different land uses. the main objective of this research was to find the optimum area of each land use to reduce soil erosion rate as well as to increase the income of stakeholders in golroudbar watershed located in semnan p...

The main ideas of path following by predictor-corrector and piecewise-linear methods, and their application in the direction of homotopy methods and non-linear eigenvalue problems are reviewed. Further new applications to areas such as polynomial systems of equations, linear eigenvalue problems, interior methods for linear programming, parametric programming and complex bifurcation are surveyed...