J. of Combinatorial Optimization, vol. 22, pp. 180-201, 2011.
paper addresses a constrained two-dimensional (2D), non-guillotine
restricted, packing problem, where a fixed set of small rectangles has
to be placed into a larger stock rectangle so as to maximize the value
of the rectangles packed. The algorithm we propose hybridizes a novel
placement procedure with a genetic algorithm based on random keys. We
propose also a new fitness function to drive the optimization. The
approach is tested on a set of instances taken from the literature and
compared with other approaches. The experimental results validate the
quality of the solutions and the effctiveness of the proposed algorithm.
PDF file of full paper
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