Parallel recombinative simulated annealing: a genetic algorithm
Parallel Computing
Memetic algorithms: a short introduction
New ideas in optimization
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A New Exact Algorithm for General Orthogonal D-Dimensional Knapsack Problems
ESA '97 Proceedings of the 5th Annual European Symposium on Algorithms
EvoCOP'07 Proceedings of the 7th European conference on Evolutionary computation in combinatorial optimization
Computers and Industrial Engineering
A unified view on hybrid metaheuristics
HM'06 Proceedings of the Third international conference on Hybrid Metaheuristics
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The Backtracking Heuristic (BH) methodology consists in to construct blocks of items by combination beetween heristics, that solve mathematical programming models, and backtrack search algorithm to figure out the best heuristics and their best ordering. BH has been re- cently introduced in the literature in order to solve three-dimensional Knapsack Loadin Problems, showing promising results. In the present Work we apply the same methodology to solve constrained two-dimensional Guillotine cutting problems. In order to assess the potentials of this novel ersion also for cutting problems, we conducted computational experiments on a set of difficult and well known benchmark instances.