TY - GEN
T1 - A general framework for designing approximation schemes for combinatorial optimization problems with many objectives combined into one
AU - Mittal, Shashi
AU - Schulz, Andreas S.
PY - 2008
Y1 - 2008
N2 - In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one objective function are combined into one using any norm. The main idea is to exploit the approximate Pareto-optimal frontier for multi-criteria optimization problems. Using this approach, we obtain an FPTAS for a novel resource allocation problem, for the problem of scheduling jobs on unrelated parallel machines, and for the Santa Claus problem, when the number of agents/machines is fixed, for any norm, including the l ∞- norm. Moreover, either FPTAS can be implemented in a manner so that the space requirements are polynomial in all input parameters. We also give approximation algorithms and hardness results for the resource allocation problem when the number of agents is not fixed.
AB - In this paper, we propose a general framework for designing fully polynomial time approximation schemes for combinatorial optimization problems, in which more than one objective function are combined into one using any norm. The main idea is to exploit the approximate Pareto-optimal frontier for multi-criteria optimization problems. Using this approach, we obtain an FPTAS for a novel resource allocation problem, for the problem of scheduling jobs on unrelated parallel machines, and for the Santa Claus problem, when the number of agents/machines is fixed, for any norm, including the l ∞- norm. Moreover, either FPTAS can be implemented in a manner so that the space requirements are polynomial in all input parameters. We also give approximation algorithms and hardness results for the resource allocation problem when the number of agents is not fixed.
UR - http://www.scopus.com/inward/record.url?scp=51849090574&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-85363-3_15
DO - 10.1007/978-3-540-85363-3_15
M3 - Conference contribution
AN - SCOPUS:51849090574
SN - 3540853626
SN - 9783540853626
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 179
EP - 192
BT - Approximation, Randomization and Combinatorial Optimization
T2 - 11th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2008 and 12th International Workshop on Randomization and Computation, RANDOM 2008
Y2 - 25 August 2008 through 27 August 2008
ER -