Publication:
Initialization Procedures for Multiobjective Evolutionary Approaches to the Segmentation Issue

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ISSN: 0302-9743 (print)
ISSN: 1611-3349 (online)
ISBN: 978-3-642-28941-5 (print)
ISBN: 978-3-642-28942-2 (online)
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2012
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Springer
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Abstract
Evolutionary algorithms have been applied to a wide variety of domains with successful results, supported by the increase of computational resources. One of such domains is segmentation, the representation of a given curve by means of a series of linear models minimizing the representation error. This work analyzes the impact of the initialization method on the performance of a multiobjective evolutionary algorithm for this segmentation domain, comparing a random initialization with two different approaches introducing domain knowledge: a hybrid approach based on the application of a local search method and a novel method based on the analysis of the Pareto Front structure.
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Proceedings of: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30, 2012.
Keywords
Initialization, Segmentation, Evolution Strategies, Multiobjective Optimization, Memetic Algorithms
Bibliographic citation
Corchado, E. et al. (eds.), 2012. Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30, 2012. Proceedings, Part I. (Lecture Notes in Computer Science, 7208), Springer, pp. 452-463.