The aim of this paper is to present the adaptation of an Evolutionary Algorithm, Social Network Optimization (SNO) to multi-objective benchmark function. The algorithm will be presented in his basic implementation and then the modifications will be shown. Then it will be used to find the Pareto front of a sparse array.

SNO multi-objective implementation for sparse array optimization

Grimaccia, Francesco;Mussetta, Marco;Niccolai, Alessandro;Zich, Riccardo E.
2017-01-01

Abstract

The aim of this paper is to present the adaptation of an Evolutionary Algorithm, Social Network Optimization (SNO) to multi-objective benchmark function. The algorithm will be presented in his basic implementation and then the modifications will be shown. Then it will be used to find the Pareto front of a sparse array.
Proceedings of the 2017 19th International Conference on Electromagnetics in Advanced Applications, ICEAA 2017
9781509044511
Electrical and Electronic Engineering; Instrumentation; Radiation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1041013
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