Heuristic and Metaheuristic Approaches for a Class of Two-Dimensional Bin Packing Problems
INFORMS Journal on Computing
The Three-Dimensional Bin Packing Problem
Operations Research
An Exact Approach to the Strip-Packing Problem
INFORMS Journal on Computing
A new heuristic recursive algorithm for the strip rectangular packing problem
Computers and Operations Research
A new heuristic algorithm for rectangle packing
Computers and Operations Research
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Operations Research
A recursive branch-and-bound algorithm for the rectangular guillotine strip packing problem
Computers and Operations Research
The Bottomn-Left Bin-Packing Heuristic: An Efficient Implementation
IEEE Transactions on Computers
A meta-heuristic algorithm for the strip rectangular packing problem
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
A hybrid simulated annealing algorithm for container loading problem
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Computers and Operations Research
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Computers and Industrial Engineering
A SAT-based Method for Solving the Two-dimensional Strip Packing Problem
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Computers and Operations Research
A fast layer-based heuristic for non-guillotine strip packing
Expert Systems with Applications: An International Journal
An efficient deterministic heuristic for two-dimensional rectangular packing
Computers and Operations Research
A simple randomized algorithm for two-dimensional strip packing
Computers and Operations Research
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The rectangular packing problem is to pack a number of rectangles into a single large rectangular sheet so as to maximize the total area covered by the rectangles packed. The paper first presents a least wasted first strategy which evaluates the positions used by the rectangles. Then a random local search is introduced to improve the results and a least wasted first heuristic algorithm (LWF) is further developed to find a desirable solution. Twenty-one rectangular-packing instances are tested by the algorithm developed, the experimental results show that the presented algorithm can achieve an optimal solution within reasonable time and is fairly efficient for dealing the rectangular packing problem. LWF still performs well when it is extended to solve zero-waste and non-zero-waste strip packing instances.