Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Domination analysis of combinatorial optimization problems
Discrete Applied Mathematics
Combinatorial Optimization: Theory and Algorithms
Combinatorial Optimization: Theory and Algorithms
When the greedy algorithm fails
Discrete Optimization
Operations Research Letters
Information Sciences: an International Journal
WAOA'06 Proceedings of the 4th international conference on Approximation and Online Algorithms
Hi-index | 0.00 |
This paper gives a sufficient condition for a combinatorial problem to be greedy-type resistant, i.e. such that, on some instances of the problem, any greedy-type algorithm will output the unique worst possible solution. The condition is used to show that the Equipartition, the k-Clique, the Asymmetric Traveling Salesman, the Hamiltonian Path, the Min-Max Matching, and the Assignment Problems are all greedy-type resistant.