Abstract
In this paper we detail a new algorithm for multi-objective optimization, the Multi-Objective Coral Reefs Optimization (MO-CRO) algorithm. The algorithm is based on the simulation of the coral reefs processes, including corals’ reproduction and fight for the space in the reef. The adaptation to multi-objective problems is an easy process based on domination or non-domination during the process of fight for the space in the reef. The final MO-CRO is an easily implementing and fast algorithm, quite simple, but able to keep diversity in the population of corals (solutions) in a natural way. Experiments in different multi-objective benchmark problems have shown the good performance of the proposed approach in cases with limited computational resources, where we have compared it with the well known NSGA-II algorithm as reference.
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Salcedo-Sanz, S., Pastor-Sánchez, A., Gallo-Marazuela, D., Portilla-Figueras, A. (2013). A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2013. IDEAL 2013. Lecture Notes in Computer Science, vol 8206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41278-3_40
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DOI: https://doi.org/10.1007/978-3-642-41278-3_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-41277-6
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