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20162026
most citedMinimizing the Number of Tardy Jobs and Maximal Tardiness on a Single Machine is NP-hard

2 citations · 9 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.DS2024

Fair Repetitive Interval Scheduling

Klaus Heeger, Danny Hermelin, Yuval Itzhaki +2

Fair resource allocation is undoubtedly a crucial factor in customer satisfaction in several scheduling scenarios. This is especially apparent in repetitive scheduling models where…

cs.DS2024

Minimizing the Number of Tardy Jobs with Uniform Processing Times on Parallel Machines

Klaus Heeger, Hendrik Molter

In this work, we study the computational (parameterized) complexity of . Here, we are given identical parallel machines and jobs with…

cs.DS2024★ 2 cited

Minimizing the Number of Tardy Jobs and Maximal Tardiness on a Single Machine is NP-hard

Klaus Heeger, Danny Hermelin, Michael L. Pinedo +1

This paper resolves a long-standing open question in bicriteria scheduling regarding the complexity of a single machine scheduling problem which combines the number of tardy jobs a…

cs.DS2024

Fully Polynomial-time Algorithms Parameterized by Vertex Integrity Using Fast Matrix Multiplication

Matthias Bentert, Klaus Heeger, Tomohiro Koana

We study the computational complexity of several polynomial-time-solvable graph problems parameterized by vertex integrity, a measure of a graph's vulnerability to vertex removal i…

cs.DS2024

Minimizing the Weighted Number of Tardy Jobs is W[1]-hard

Klaus Heeger, Danny Hermelin

We consider the problem, the problem of minimizing the weighted number of tardy jobs on a single machine. This problem is one of the most basic and fundamental pr…