Knapsack problems: algorithms and computer implementations
Knapsack problems: algorithms and computer implementations
Approximation algorithms for bin packing: a survey
Approximation algorithms for NP-hard problems
BISON: a fast hybrid procedure for exactly solving the one-dimensional bin packing problem
Computers and Operations Research
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
New heuristics for one-dimensional bin-packing
Computers and Operations Research
Performance of Various Computers Using Standard Linear Equations Software
Performance of Various Computers Using Standard Linear Equations Software
Guided Local Search for the Three-Dimensional Bin-Packing Problem
INFORMS Journal on Computing
A Hybrid Improvement Heuristic for the One-Dimensional Bin Packing Problem
Journal of Heuristics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The noising method: a new method for combinatorial optimization
Operations Research Letters
Solving an avionics real-time scheduling problem by advanced IP-methods
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Analytical and numerical comparisons of biogeography-based optimization and genetic algorithms
Information Sciences: an International Journal
Improving the performance of heuristic algorithms based on causal inference
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Hi-index | 0.01 |
In this paper, we develop a new procedure that uses the concept of weight annealing to solve the one-dimensional bin packing problem. Our procedure is straightforward and easy to follow. We apply it to 1587 instances taken from benchmark problem sets and compare our results to those found in the literature. We find that our procedure produces very high-quality solutions very quickly and generates several new optimal solutions.