Generating single and multiple cooperative heuristics for the one dimensional bin packing problem using a single node genetic programming island model

Authors:
Kevin Sim;Emma Hart
Affiliations:
Edinburgh Napier University, Edinburgh, United Kingdom;Edinburgh Napier University, Edinburgh, United Kingdom
Venue:
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Year:
2013

Citing 16
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Abstract

Novel deterministic heuristics are generated using Single Node Genetic Programming for application to the One Dimensional Bin Packing Problem. First a single deterministic heuristic was evolved that minimised the total number of bins used when applied to a set of 685 training instances. Following this, a set of heuristics were evolved using a form of cooperative co-evolution that collectively minimise the number of bins used across the same set of problems. Results on an unseen test set comprising a further 685 problem instances show that the single evolved heuristic outperforms existing deterministic heuristics described in the literature. The collection of heuristics evolved by cooperative co-evolution outperforms any of the single heuristics, including the newly generated ones.