Using dual approximation algorithms for scheduling problems theoretical and practical results
Journal of the ACM (JACM)
Balls and bins: a study in negative dependence
Random Structures & Algorithms
Domination analysis of some heuristics for the traveling salesman problem
Discrete Applied Mathematics
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Journal of Combinatorial Theory Series A
Domination analysis of combinatorial optimization problems
Discrete Applied Mathematics
Algorithms with large domination ratio
Journal of Algorithms
Combinatorial dominance guarantees for problems with infeasible solutions
ACM Transactions on Algorithms (TALG)
Transformations of generalized ATSP into ATSP
Operations Research Letters
Operations Research Letters
Domination analysis of algorithms for bipartite boolean quadratic programs
FCT'13 Proceedings of the 19th international conference on Fundamentals of Computation Theory
Hi-index | 0.04 |
Let P be a combinatorial optimization problem, and let A be an approximation algorithm for P. The domination ratio domr(A, s) is the maximal real q such that the solution x(I) obtained by A for any instance I of P of size s is not worse than at least the fraction q of the feasible solutions of I. We say that P admits an asymptotic domination ratio one (ADRO) algorithm if there is a polynomial time approximation algorithm A for P such that lims → ∞ domr(A, s) = 1. Alon, Gutin and Krivelevich [Algorithms with large domination ratio, J. Algorithms 50 (2004) 118-131] proved that the partition problem admits an ADRO algorithm. We extend their result to the minimum multiprocessor scheduling problem.