dr inż. Tytus Pikies
Zatrudnienie
Słowa kluczowe Pomoc
- scheduling
- incompatibility graph
- uniform machine
- approximation algorithm, graph coloring, incompatible job, polynomial algorithm, scheduling, uniform machine, unit-time job
- batch scheduling
- bipartite graph
- bipartite graphs
- block graph
- chromatic cost coloring, optimum cost chromatic partition, weighted graph, bipartite graph, approximation algorithm, chromatic cost 3-pseudocoloring
- cliques
Media społecznościowe
Kontakt
- tytpikie@pg.edu.pl
Adiunkt
- Miejsce pracy
-
Budynek A Elektroniki
pokój EA 226 otwiera się w nowej karcie - Telefon
- +48 347 58 34
- tytpikie@student.pg.edu.pl
Wybrane publikacje
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Scheduling with Complete Multipartite Incompatibility Graph on Parallel Machines: Complexity and Algorithms
In this paper, the problem of scheduling on parallel machines with a presence of incompatibilities between jobs is considered. The incompatibility relation can be modeled as a complete multipartite graph in which each edge denotes a pair of jobs that cannot be scheduled on the same machine. The paper provides several results concerning schedules, optimal or approximate with respect to the two most popular criteria of optimality:...
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Chromatic cost coloring of weighted bipartite graphs
Given a graph G and a sequence of color costs C, the Cost Coloring optimization problem consists in finding a coloring of G with the smallest total cost with respect to C. We present an analysis of this problem with respect to weighted bipartite graphs. We specify for which finite sequences of color costs the problem is NP-hard and we present an exact polynomial algorithm for the other finite sequences. These results are then extended...
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Better polynomial algorithms for scheduling unit-length jobs with bipartite incompatibility graphs on uniform machines
The goal of this paper is to explore and to provide tools for the investigation of the problems of unit-length scheduling of incompatible jobs on uniform machines. We present two new algorithms that are a significant improvement over the known algorithms. The first one is Algorithm 2 which is 2-approximate for the problem Qm|p j = 1, G = bisubquartic|Cmax . The second one is Algorithm 3 which is 4-approximate for the problem Qm|p...
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