Different approaches in the hybridization of constraint programming and local search techniques have been recently proposed in the literature. In this paper we investigate two of them, namely the employment of local search to improve a solution found by constraint programming and the exploitation of a constraint model to perform the exploration of the local neighborhood. We apply the two approa...

Association of Long vs StandardDetection Intervals for Implantable Cardioverter-Defibrillators WithHospitalizations and Costs The roleof implantable cardioverter-defibrillators (ICDs) in reducing sudden and overall mortality is established.1 Recently, an ICD programming strategy that allows delayed detection of arrhythmiaswas shown to reduceunnecessary and inappropriate therapies.2,3 In this ex...

Classical Logic is bivalent in that it admits exactly two truth-values: the true and the false. Many-valued logics, in contrast, allow for the consideration of arbitrarily large classes of truth-values. To export the canonical notion of entailment to the realm of many-valuedness, the trick is to characterize any such class of truth-values by saying that some of these values are ‘designated’. On...

Linear fractional programming problems are useful tools in producti on planning, financial and corporate planning, health care and hospital planning and as such have attracted considerable research interest. The paper presents a new approach for solving a fractional linear programming problem in which the objective function is a linear fractional function, while the constraint functions are in ...

OBJECTIVE Our goal is to propose and solve a new formulation of the recently-formalized patient admission scheduling problem, extending it by including several real-world features, such as the presence of emergency patients, uncertainty in the length of stay, and the possibility of delayed admissions. METHOD We devised a metaheuristic approach that solves both the static (predictive) and the ...

Following Sethuraman, Teo and Vohra ((2003), (2006)), we apply integer programming tools to the analysis of fundamental issues in social choice theory. We generalize Sethuraman et al.’s approach specifying integer programs in which variables are allowed to assume values in the set {0, 12 , 1}. We show that there exists a one-to-one correspondence between the solutions of an integer program defi...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

In this paper, the problem under consideration is multiobjective non-linear fractional programming problem involving semilocally convex and related functions. We have discussed the interrelation between the solution sets involving properly efficient solutions of multiobjective fractional programming and corresponding scalar fractional programming problem. Necessary and sufficient optimality...

In practice, there are many problems which decision parameters are fuzzy numbers, and some kind of this problems are formulated as either possibilitic programming or multi-objective programming methods. In this paper, we consider a multi-objective programming problem with fuzzy data in constraints and introduce a new approach for solving these problems base on a combination of the multi-objecti...