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A Hybrid Optimization Strategy with Low Resource Usage for Large Scale Multiobjective Problems
Wellington Rodrigo Monteiro, Gilberto Reynoso-Meza
Pontifical Catholic University of Paraná, R. Imaculada Conceição, 1155, Curitiba & Paraná, Brazil
Abstract: The use of multi-objective approaches to solve problems in industry grew in the last years. Nevertheless, these strategies are still unused in many fields where their performance is suboptimal or when they are too complex to be implemented or even are simply unknown. One example is in the poultry industry with its particularly complex chain. In this paper, we will discuss a hybrid multi-objective approach with low computational resource usage intended for this scenario as well as other similar ones.
Keywords: Multi-objective, Optimization, Many Variables, Low Resource Usage A Hybrid Optimization Strategy with Low Resource Usage for Large Scale Multiobjective Problems
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References:[1] Cheng, R., Jin, Y., Olhofer, M., Sendho, B. (2016). Test problems for large-scale multiobjective and many-objective optimization. IEEE Transactions on Cybernetics. [2] Christopher, M. (2016). Logistics & supply chain management. Pearson UK. [3] Flanders, F., Gillespie, J. R. (2015). Modern livestock & Poultry production. Cengage Learning. [4] Kelner, V., Capitanescu, F., Leonard, O., Wehenkel, L. (2008). A hybrid optimization technique coupling an evolutionary and a local search algorithm. Journal of Computational and Applied Mathematics, 215 (2) 448-456. [5] Liefooghe, A., Humeau, J., Mesmoudi, S., Jourdan, L., Talbi, E.-G. (2012). On dominance-based multiobjective local search: design, implementation and experimental analysis on scheduling and traveling salesman problems. Journal of Heuristics, 18 (2) 317-352. [6] MATHWORKS. Hypervolume approximation - matlab central, 2015. [7] Monteiro, W. R., Reynoso-Meza, G. (2017). A multi-criteria based approach for the production distribution in the poultry industry. In: 24th ABCM International Congress of Mechanical Engineering. Brazilian Society of Mechanical Sciences and Engineering. [8] Reynoso-Meza, G., Sanchis, J., Blasco, X., Martnez, M. (2010). Design of continuous controllers using a multiobjective differential evolution algorithm with spherical pruning. In: European Conference on the Applications of Evolutionary Computation, p. 532-541. Springer.


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