AbstractThe modified harmonic bin packing algorithm, and Hu and Kahng's unnamed algorithm, are variations of the harmonic bin packing algorithm which are still on-line and run in linear time, but use linear rather than constant working storage to lower the asymptotic performance bound from 1.6910 to 1.612 and 1.6066, respectively. In this paper, further improvements lower the bound to 1.5888. It then is shown that improvements of the type introduced in this paper only can do as well as 1.5874, and hence that additional significant improvements to this particular approach are impossible. Finally, some ideas on how a better algorithm might operate are discussed
AbstractIn this paper, we present improved bounds for the First Fit algorithm for the bin-packing pr...
Low-order polynomial time algorithms for near-optimal solutions to the problem of bin packing are st...
AbstractIn 1985, Martel published a linear time algorithm with a 43 asymptotic worst-case ratio for ...
AbstractThe modified harmonic bin packing algorithm, and Hu and Kahng's unnamed algorithm, are varia...
The study on one-dimensional bin packing problem may bring about many important applications such as...
The author presents a sequence of linear-time, bounded-space, on-line, bin-packing algorithms that a...
In the online bin packing problem, items of sizes in (0,1] arrive online to be packed into bins of s...
In the parametric bin packing problem we must pack a list of items with size smaller than or equal t...
The 2D Online Bin Packing is a fundamental problem in Computer Science and the determination of its ...
For NP-complete problems, it may not be possible to find an optimal solution in polynomial time. How...
Packing a given sequence of items into as few bins as possible in an online fashion is a widely stud...
AbstractOn-line algorithms have been extensively studied for the one-dimensional bin packing problem...
In [J. Csirik, G.J.Woeginger, An on-line algorithm for multidimensional bin packing, Inform. Process...
The classical on-line bin-packing problem, unlike typical on-line problems, does not admit any reorg...
AbstractThe FIRST FIT DECREASING algorithm for bin packing has long been famous for its guarantee th...
AbstractIn this paper, we present improved bounds for the First Fit algorithm for the bin-packing pr...
Low-order polynomial time algorithms for near-optimal solutions to the problem of bin packing are st...
AbstractIn 1985, Martel published a linear time algorithm with a 43 asymptotic worst-case ratio for ...
AbstractThe modified harmonic bin packing algorithm, and Hu and Kahng's unnamed algorithm, are varia...
The study on one-dimensional bin packing problem may bring about many important applications such as...
The author presents a sequence of linear-time, bounded-space, on-line, bin-packing algorithms that a...
In the online bin packing problem, items of sizes in (0,1] arrive online to be packed into bins of s...
In the parametric bin packing problem we must pack a list of items with size smaller than or equal t...
The 2D Online Bin Packing is a fundamental problem in Computer Science and the determination of its ...
For NP-complete problems, it may not be possible to find an optimal solution in polynomial time. How...
Packing a given sequence of items into as few bins as possible in an online fashion is a widely stud...
AbstractOn-line algorithms have been extensively studied for the one-dimensional bin packing problem...
In [J. Csirik, G.J.Woeginger, An on-line algorithm for multidimensional bin packing, Inform. Process...
The classical on-line bin-packing problem, unlike typical on-line problems, does not admit any reorg...
AbstractThe FIRST FIT DECREASING algorithm for bin packing has long been famous for its guarantee th...
AbstractIn this paper, we present improved bounds for the First Fit algorithm for the bin-packing pr...
Low-order polynomial time algorithms for near-optimal solutions to the problem of bin packing are st...
AbstractIn 1985, Martel published a linear time algorithm with a 43 asymptotic worst-case ratio for ...