Abstract
In this final chapter, a summary of the main characteristics and the results obtained by the Self-adaptive Multi-objective Optimization Differential Evolution algorithm are presented. Among these characteristics, two are very attractive from the optimization point of view, namely the quality of the solution (convergence and diversity) and the way the DE parameters updated along the evolutionary process (dynamical updating).
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References
Zaharie, D.: Control of population diversity and adaptation in differential evolution algorithms. In: Matouek, R., Omera P. (eds.) Proceedings of Mendel 2003, 9th International Conference on Soft Computing, pp. 41–46 (2003)
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Lobato, F.S., Steffen, V. (2017). Conclusions. In: Multi-Objective Optimization Problems. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-58565-9_7
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DOI: https://doi.org/10.1007/978-3-319-58565-9_7
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Online ISBN: 978-3-319-58565-9
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