Department of Computer Science | Institute of Theoretical Computer Science | CADMO

Prof. Emo Welzl and Prof. Bernd Gärtner

Mittagsseminar Talk Information |

**Date and Time**: Tuesday, October 18, 2011, 12:15 pm

**Duration**: 30 minutes

**Location**: CAB G51

**Speaker**: Sandro Bosio

We present an novel model for adding a temporal dimension to classical combinatorial optimization problems. In a static combinatorial optimization problem we are given a set system (A,C) and a linear weight function w, and the goal is to find a member S in C with maximum weight w(S). In the time extended version of the problem, each element a in A is associated with an integral **duration** t_{a}. Given a **total duration** T, a **solution over time** is a collection of members S_{t}, for t in {1..T}, with the following property: for each element a in A, the set of time points at which a is selected is a union of intervals whose length is multiple of the duration t_{a}. That is, each element can be selected any number of times within the time window, but whenever it gets activated it must remain in the solution for its whole duration. The goal is to find a solution over time with maximum total weight (sum of w(S_{t}) over t in {1..T}).

We present a simple polynomial pq-approximation algorithm for time extensions of independence systems which admit a polynomial q-approximation algorithm for the static version, where p < 1.692. This algorithm generalizes the p-approximation total-value heuristic by Kohli and Krishnamurti (1992) for the integer knapsack problem. We discuss the connection to the integer knapsack and mention some applications to scheduling and orthogonal rectangle packing.

Joint work with David Adjiashvili and Robert Weismantel.

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