نتایج جستجو برای: nonlinear goal programming

تعداد نتایج: 746021  

Journal: :مهندسی صنایع 0
الیپس مسیحی استادیار بخش مهندسی صنایع- دانشگاه تربیت مدرس امیرعباس ابوئی مهریزی دانش¬آموخته کارشناسی ارشد مهندسی صنایع دانشگاه تربیت مدرس و مربی بخش مهندسی صنایع مجتمع آموزش عالی بم

in this paper a new method is proposed for path planning of planar manipulators amid obstacles through mathematical programming in a way that the robot’s links avoid collision with obstacles throughout their motion from an initial to a goal configuration. after inputting the workspace geometry, the shortest feasible path for the robot’s end-effector is planned toward its goal position using gen...

Nahavandi , Nasim , Nikbakhsh , Ehsan , Zegordi , Seyed Hessameddin ,

  Majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. However in real-world applications, these assumptions are not well-matched with reality. In this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the c...

Payel Ghosh Tapan Kumar Roy

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...

Journal: :iranian journal of fuzzy systems 2005
m. a. yaghoobi m. tamiz

a theorem was recently introduced to establish a relationship betweengoal programming and fuzzy programming for vectormaximum problems.in this short note it is shown that the relationship does not exist underall circumstances. the necessary correction is proposed.

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
m. saraj s. sadeghi

this paper presents a fuzzy goal programming (fgp) methodology for solving bi-level quadratic programming (blqp) problems. in the fgp model formulation, firstly the objectives are transformed into fuzzy goals (membership functions) by means of assigning an aspiration level to each of them, and suitable membership function is defined for each objectives, and also the membership functions for vec...

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