Abstract
To solve the difficulties of evolutionary antenna, a new multi-objective differential algorithm NS-TADE is proposed, which has twins-crossover and adaptive parameters and integrates with Pareto dominating sorting introduced in NSGA-II. The algorithm aims at reducing antenna simulation times meanwhile satisfying and conciliating multiple objectives. The algorithm has been applied to a practical antenna design problem. The result of the experiment shows that the problem has been solved effectively, and multiple non-inferior solution have obtained in some cases to provide more choice for users.
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Fan, Y., Liang, Q., Zeng, S. (2012). A Multi-objective Differential Evolutionary Algorithm Applied in Antenna Optimal Problem. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_28
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DOI: https://doi.org/10.1007/978-3-642-34289-9_28
Publisher Name: Springer, Berlin, Heidelberg
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