AAAI Publications, Ninth Annual Symposium on Combinatorial Search

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An Improved Metaheuristic Algorithm for Maximizing Demand Satisfaction in the Population Harvest Cutting Stock Problem
Laura Climent, Barry O'Sullivan, Richard J. Wallace

Last modified: 2016-06-20


We present a greedy version of an existing metaheuristic al-gorithm for a special version of the Cutting Stock Problem(CSP). For this version, it is only possible to have indirectcontrol over the patterns via a vector of continuous valueswhich we refer to as a weights vector. Our algorithm itera-tively generates new weights vectors by making local changesover the best weights vector computed so far. This allows usto achieve better solutions much faster than is possible withthe original metaheuristic.


Metaheuritic; Cutting Stock Problem; Simulated Annealing Like Algorithm; Forestry harvesting;

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