[PDF] Top 20 Algorithm for Interval Linear Programming Involving Interval Constraints

... is interval based approach in which we model imprecise quantities by intervals, and suppose that the quantities may vary independently and simultaneously within their ...with interval cost function are ... See full document

... The linear Complementarity problem (LCP) is a well known mathematical programming and it has been studied by many ...pivoting algorithm for solving linear complementarity ...quadratic ... See full document

... A linear programming with fuzzy parameters can be used to model a real problem under ...an interval, all of the concepts given in the previous subsections are ... See full document

... Linear programming (LP) is a technique for determining on optimum schedule (such as maximizing profit or minimizing cost) of interdependent activities in view of the available ...resources. ... See full document

... In practice, in many cases, it can be expected that, relatively,givenanindeterminate parameter p, more likely it is in a middle situation of partial consensus; on the one hand, it can be something of overlapping among ... See full document

... bilevel programming problem is a hierarchical optimization problem involving de- cision processes with two decision makers, the so-called leader or upper level decision maker and the so-called follower or ... See full document

... Linear programming is an important branch of operational research, which has been studied earlier, developed rapidly, used widely and ...issues, linear programming refers to the process of ... See full document

... Fuzzy linear constraints with fuzzy numbers were studied by Dubois and Prade, ...of linear programmings with fuzzy numbers called: interval numbers and fuzzy number linear ... See full document

... semidefinite programming routine is the result of an approximate calculation and hence is itself ...with linear relaxa- tions are documented by many applications and a number of survey papers (for example ... See full document

... a linear programming problem with an additional set of constraints and dvelop an extended version of the simplex algorithm to solve the ... See full document

... the interval-valued EM algorithm to solve different problems involving interval- valued data, for instance, to estimate the regression coefficients of linear and nonlinear regression ... See full document

... 5. Yi-Kuei Lin and Cheng-Ta Yeh, Maximizing network reliability for stochastic transportation networks under a budget constraint by using a genetic algorithm, International Journal of Innovative Computing, ... See full document

... mathematical programming (SMP), fuzzy mathematical programming (FMP), interval-parameter mathematical programming (IMP), and combinations of these methods (Singh ...of interval, as well ... See full document

... the interval X (we cannot enforce the interval constraints over an arbitrarily chosen pair (Xs , Xe) as there may not exist a solution plan with that pair satisfying the constraints; but there ... See full document

... of interval quadratic programming ...(interval linear programming) have been established in [4, ...for interval quadratic programming problem have been ...of ... See full document

... extended zero" method will be used for Gauss elimination algorithm in setion 3. Examples[r] ... See full document

... an interval-valued fuzzy set can be viewed as an alternative approach to define a fuzzy set in cases where available information is not sufficient for the definition of an imprecise concept by means of a ... See full document

... In this article, we study on symbolic regression of interval-valued data. First of all, we introduce the symbolic interval data. In classical data, the exact value of the interested variables usually can be ... See full document

... to interval temporal logic MC are rooted in the verification setting, the problem of checking a single (finite) interval model emerged from different application con- texts, and results in a much better ... See full document

... of linear and linear fractional programming ...fuzzy constraints, linear plus linear fractional programming problem (LPLFPP) was studied by Jain and Lachhwani ... See full document