[PDF] Top 20 Solving linear bilevel multiobjective programming problem via exact penalty function approach

... Although solving the bilevel multiobjective programming problem is not an easy task, some researchers have presented feasible approachers for this ...nonlinear bilevel ... See full document

... fuzzy bilevel linear programming (FFBLP) wherein all the co- efficients and decision variables in both the objective functions and constraints are triangular fuzzy ...proposed approach is ... See full document

... 3.6 3.7 3.7 2.8 3.8 Table 1 reports the results of computational for Algorithm 1 and Karmarkar’s Algorithm. The first column of Table 1 contains the example number and the next two columns of each algorithm in this table ... See full document

... membership function goals to the extent possible by minimizing their deviational variables and thereby obtaining the most satisfactory solution for both decision ...goal programming procedure is that the ... See full document

... an exact penalty approach for solving mixed integer nonlinear programming (MINLP) prob- lems and showed how to convert a MINLP problem to a finite sequence of NLP ...a ... See full document

... best approach [3, 4], Kuhn-Tucker approach [5, 6, 7], complementarity pivot approach [8], penalty function approach [9, 10], proposed for solving linear BLP ... See full document

... Infinite Programming (SIP) problems arise in many practical problems such as computer aided design, production planning, and the ...for solving such problems have been proposed. A common approach ... See full document

... fuzzy linear programming (FLP) was first introduced by Tanaka et ...fuzzy linear programming in fuzzy environment. Multi-objective linear Programming was introduced by Zeleny ... See full document

... with solving the dual problem’s constraint domain pole, thus saved computing time and ...constraint function and simplify the structure of the penalty ... See full document

... the bilevel programming problem with multi- objective in the lower level problem as ‘semivectorial bilevel programming problem’, and a penalty approach is ... See full document

... addresses linear multi-objective problem ...multi-objective linear program- ming problem of which the resolution can permit to gen- erate the whole set of feasible points of the upper level ... See full document

... quasiconcave bilevel programming problem ...a Bilevel Multiobjective Programming Problem (BMPP), we characterize its leader objective function and its feasible ... See full document

... level problem to be solved for DM1 is also a strictly concave programming ...the linear-quadratic bilevel ...an exact solution algorithm for nonlinear ...lower-level problem. ... See full document

... to bilevel program- ming are limited to a specific situation with one leader and one ...actual bilevel programming problems, however, the lower level problem often involves multi- ple decision ... See full document

... The fundamental deficiency of current branch and bound algorithm is that it could not well solve a linear BLP problem when constraint functions at the upper-level are of arbitrary linear form. This ... See full document

... We have proposed a new method by introducing a new arithmetic operations and a ranking method for the solution of Intuitionistic Fuzzy Linear Programming Problems without converting it to an equivalent ... See full document

... together with common linear constraints. In order to deal with HFMOLP, concepts of a generalized Λ-extreme point and decision powers have been introduced and a linear programming based interactive ... See full document

... an approach based on value and ambiguity in- dices to solve LPPs with data as Triangular Intuitionistic Fuzzy ...the problem of ranking a set of intui- tionistic fuzzy numbers to define a fuzzy rank and a ... See full document

... called bilevel single objective optimiza- tion problems, or simply bilevel optimization ...problems. Bilevel optimization is an important research area since about three decades and there exists a ... See full document

... Response surface methodology [RSM] is a sequential procedure and it offers effective means for using experimental design principles to determine the optimizer of the real-valued function. Response surface ... See full document