Combinatorial Algorithms for Capacitated Network Design
نویسندگان
چکیده
We focus on designing combinatorial algorithms for the CAPACITATED NETWORK DESIGN problem (CAPSNDP). The CAP-SNDP is the problem of satisfying connectivity requirements when edges have costs and hard capacities. We begin by showing that the GROUP STEINER TREE is a special case of CAP-SNDP even when there is connectivity requirement between only one source-sink pair. This implies the first poly-logarithmic lower bound for the CAP-SNDP. We next provide combinatorial algorithms for several special cases of this problem. The CAP-SNDP is equivalent to its special case where every edge has either zero cost or infinite capacity. We consider a special case, called CONNECTED CAP-SNDP, where all infinite-capacity edges in the solution are required to form a connected component containing the sinks. This problem is motivated by its similarity to the Connected Facility Location problem [20, 31]. We solve this problem by reducing it to SUBMODULAR TREE COVER, which is a common generalization of CONNECTED CAP-SNDP and GROUP STEINER TREE. We generalize the recursive greedy algorithm [10] achieving a poly-logarithmic approximation algorithm for SUBMODULAR TREE COVER. This result is interesting in its own right and gives the first poly-logarithmic approximation algorithms for Connected hard capacities set multi-cover and Connected source location. We then study another special case of CAP-SNDP called UNBALANCED-P2P. Besides its practical applications to shift design problems [13], it generalizes many problems such as k-MST, Steiner Forest and Point-to-Point Connection. We give a combinatorial logarithmic approximation algorithm for this problem by reducing it to degree-bounded SNDP. ∗University of Maryland, College Park, MD 20742, U.S.A., E-mail: [email protected]. The author is also with AT&T Labs– Research, Florham Park, NJ 07932, U.S.A. †IBM T.J. Watson research center, Hawthorne, NY 10532, U.S.A., E-mail: [email protected]. ‡Rutgers University–Camden, NJ 08102, U.S.A., E-mail: [email protected]. Research partially supported by NSF grant 0819959. §The Open University of Israel. Raanana, Israel. E-mail:[email protected]. ar X iv :1 10 8. 11 76 v1 [ cs .D S] 4 A ug 2 01 1
منابع مشابه
A Simulated Annealing Algorithm for Unsplittable Capacitated Network Design
The Network Design Problem (NDP) is one of the important problems in combinatorial optimization. Among the network design problems, the Multicommodity Capacitated Network Design (MCND) problem has numerous applications in transportation, logistics, telecommunication, and production systems. The MCND problems with splittable flow variables are NP-hard, which means they require exponential time t...
متن کاملA Simulated Annealing Algorithm for Unsplittable Capacitated Network Design
The Network Design Problem (NDP) is one of the important problems in combinatorial optimization. Among the network design problems, the Multicommodity Capacitated Network Design (MCND) problem has numerous applications in transportation, logistics, telecommunication, and production systems. The MCND problems with splittable flow variables are NP-hard, which means they require exponential time t...
متن کاملA hybrid GA-TLBO algorithm for optimizing a capacitated three-stage supply chain network
A teaching-learning-based optimization (TLBO) algorithm is a new population-based algorithm applied in some applications in the literature successfully. Moreover, a genetic algorithm (GA) is a popular tool employed widely in many disciplines of engineering. In this paper, a hybrid GA-TLBO algorithm is proposed for the capacitated three-stage supply chain network design (SCND) problem. The SCND ...
متن کاملACO-Based Neighborhoods for Fixed-charge Capacitated Multi-commodity Network Design Problem
The fixed-charge Capacitated Multi-commodity Network Design (CMND) is a well-known problem of both practical and theoretical significance. Network design models represent a wide variety of planning and operation management issues in transportation telecommunication, logistics, production and distribution. In this paper, Ant Colony Optimization (ACO) based neighborhoods are proposed for CMND pro...
متن کاملAn Imperialist Competitive Algorithm and a Mixed Integer Programming Formulation for the Capacitated Vehicle Routing Problem
The Vehicle Routing Problem (VRP), a famous problem of operation research, holds a central place in combinatorial optimization problems. In this problem, a fleet vehicles with Q capacity start to move from depot and return after servicing to customers in which visit only ones each customer and load more than its capacity not at all. The objective is to minimize the number of used vehicles and t...
متن کاملA branch-and-cut algorithm for capacitated network design problems
We present a branch-and-cut algorithm to solve capacitated network design problems. Given a capacitated network and point-to-point traac demands, the objective is to install more capacity on the edges of the network and route traac simultaneously, so that the overall cost is minimized. We study a mixed-integer programming formulation of the problem and identify some new facet deening inequaliti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- CoRR
دوره abs/1108.1176 شماره
صفحات -
تاریخ انتشار 2011