Linear programming problems with alternate solutions are challenging due to the choice of multiple strategiesresulting in the same optimal value of the objective function. However, searching for these solutions is atedious task, especially when using mixed integer linear programming (MILP), as previously applied tometabolic models. Therefore, judgment on plurality of optimal m...

recently, gasimov and yenilmez proposed an approach for solving two kinds of fuzzy linear programming (flp) problems. through the approach, each flp problem is first defuzzified into an equivalent crisp problem which is non-linear and even non-convex. then, the crisp problem is solved by the use of the modified subgradient method. in this paper we will have another look at the earlier defuzzifi...

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...