We improve the lower bound on the asymptotic competitive ratio of any online algorithm for bin packing to above 1.54278. We demonstrate for the first time the advantage of branching and the applicability of full adaptivity in the design of lower bounds for the classic online bin packing problem. We apply a new method for weight based analysis, which is usually applied only in proofs of upper bounds. The values of previous lower bounds were approximately 1.5401 and 1.5403. © 2020, Springer Nature Switzerland AG
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
We use game theory techniques to automatically compute improved lower bounds on the competitive rati...
AbstractOn-line algorithms have been extensively studied for the one-dimensional bin packing problem...
We improve the lower bound on the asymptotic competitive ratio of any online algorithm for bin packi...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
The bin packing problem has been extensively studied and numerous variants have been considered. The...
AbstractIn competitive analysis, we usually do not put any restrictions on the computational complex...
Cardinality constrained bin packing or bin packing with cardinality constraints is a basic bin packi...
Abstract We study a bin packing problem in which a bin can contain at most k items of total size at ...
Abstract We study a bin packing problem in which a bin can contain at most k items of total size at ...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
Abstract In this paper we will consider a special relaxation of the well-known online bin packing pr...
Abstract In this paper we will consider a special relaxation of the well-known online bin packing pr...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
We use game theory techniques to automatically compute improved lower bounds on the competitive rati...
AbstractOn-line algorithms have been extensively studied for the one-dimensional bin packing problem...
We improve the lower bound on the asymptotic competitive ratio of any online algorithm for bin packi...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
We revisit the classic online bin packing problem studied in the half-century. In this problem, item...
The bin packing problem has been extensively studied and numerous variants have been considered. The...
AbstractIn competitive analysis, we usually do not put any restrictions on the computational complex...
Cardinality constrained bin packing or bin packing with cardinality constraints is a basic bin packi...
Abstract We study a bin packing problem in which a bin can contain at most k items of total size at ...
Abstract We study a bin packing problem in which a bin can contain at most k items of total size at ...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
Abstract In this paper we will consider a special relaxation of the well-known online bin packing pr...
Abstract In this paper we will consider a special relaxation of the well-known online bin packing pr...
In competitive analysis, we usually do not put any restrictions on the computational complexity of o...
We use game theory techniques to automatically compute improved lower bounds on the competitive rati...
AbstractOn-line algorithms have been extensively studied for the one-dimensional bin packing problem...