The capacitated m two node survivable star problem

The Capacitated m-Ring-Star Problem

The Capacitated m-Ring-Star Problem (CmRSP) is the problem of designing a set of rings that pass through a central depot and through some transition points and/or customers, and then assigning each non-visited customer to a visited point or customer. The number of customers visited and assigned to a ring is bounded by an upper limit: the capacity of the ring. The objective is to minimize the to...

A heuristic procedure for the Capacitated m-Ring-Star problem

In this paper we propose a heuristic method to solve the Capacitated m-Ring-Star Problem which has many practical applications in communication networks. The problem consists of finding m rings (simple cycles) visiting a central depot, a subset of customers and a subset of potential (Steiner) nodes, while customers not belonging to any ring must be “allocated” to a visited (customer or Steiner)...

Survivable network design: the capacitated minimum spanning network problem

An Approach to Solving the Survivable Capacitated Network Design Problem

Survivability refers to keeping a system partially or fully operational when one or more of its components fail. Survivability in telecommunication networks is crucial, as failure of a network component can potentially bring down the whole communication network, as happened in some real-world cases. Adding redundant network components increases the survivability of a network, but cost of the ne...

An Integer Linear Programming based Heuristic Approach for the Capacitated m-Ring-Star Problem

We address the Capacitated m-Ring-Star Problem in which the aim is to find m rings (simple cycles) visiting a central depot, a subset of customers and a subset of potential Steiner nodes, while customers not belonging to any ring must be "allocated" to a visited (customer or Steiner) node. Moreover, the rings must be node-disjoint and the number of customers allocated or visited in a ring canno...