Min-max-min Geometric Facility Location Problems
نویسندگان
چکیده
We propose algorithms for a special type of geometric facility location problem in which customers may choose not to use the facility. We minimize the maximum cost incurred by a customer, where the cost itself is a minimum between two costs, according to whether the facility is used or not. We therefore call this type of location problem a min-max-min geometric facility location problem. As a first example, we describe the Closer Post Office problem, a generalization of the minimum spanning circle problem. We show that this problem can be solved in O(n) randomized expected time. We also show that the proposed algorithm solves two other min-max-min geometric facility location problems. One, which we call the Moving Walkway problem, seems to be the first instance of a facility location problem using time metrics.
منابع مشابه
Fuzzy facility location problem with preference of candidate sites
Models so far considered as facility location problems treat either min–max or max–min criterion, that is, the facility is either desirable or undesirable. We propose the following model considering the satisfaction degree with respect to the distance from the facility for each customer (residents) and preference of the site in an urban area. The objective is to find the site of the facility wh...
متن کاملA Plant Location Guide for the Unsure: Approximation Algorithms for Min-Max Location Problems
j∈Si d(j, F ) , where for any F ⊆ V , d(j, F ) = minf∈F d(j, f). This is a “min-max” or “robust” version of the k-median problem. Note that in contrast to the recent papers on robust and stochastic problems, we have only one stage of decisionmaking where we select a set of k facilities to open. Once a set of open facilities is fixed, each client in the uncertain client-set connects to the...
متن کاملRESOLUTION OF NONLINEAR OPTIMIZATION PROBLEMS SUBJECT TO BIPOLAR MAX-MIN FUZZY RELATION EQUATION CONSTRAINTS USING GENETIC ALGORITHM
This paper studies the nonlinear optimization problems subject to bipolar max-min fuzzy relation equation constraints. The feasible solution set of the problems is non-convex, in a general case. Therefore, conventional nonlinear optimization methods cannot be ideal for resolution of such problems. Hence, a Genetic Algorithm (GA) is proposed to find their optimal solution. This algorithm uses th...
متن کاملA goal geometric programming problem (G2P2) with logarithmic deviational variables and its applications on two industrial problems
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...
متن کاملTitle Total Dual Integrality in Some Facility Location Problems
Facility location, arising in a rich variety of applications, has been studied extensively in the fields of operations research and computer science. In this paper we consider the classical uncapacitated facility location problem and its “prize-collecting” variant introduced by Bäıou and Barahona, and we show that the linear systems associated with these problems are totally dual integral if an...
متن کامل