SNO multi-objective implementation for sparse array optimization
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 fron...
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| Vydáno v: | 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA) s. 824 - 827 |
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01.09.2017
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| 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. |
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| AbstractList | 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. |
| Author | Zich, Riccardo E. Mussetta, Marco Pirinoli, Paola Grimaccia, Francesco Niccolai, Alessandro |
| Author_xml | – sequence: 1 givenname: Francesco surname: Grimaccia fullname: Grimaccia, Francesco organization: Energy Dept., Politec. di Milano, Milan, Italy – sequence: 2 givenname: Marco surname: Mussetta fullname: Mussetta, Marco organization: Energy Dept., Politec. di Milano, Milan, Italy – sequence: 3 givenname: Alessandro surname: Niccolai fullname: Niccolai, Alessandro organization: Energy Dept., Politec. di Milano, Milan, Italy – sequence: 4 givenname: Paola surname: Pirinoli fullname: Pirinoli, Paola email: paola.pirinoli@polito.it organization: Dept. of Electron. & Telecommun, Politec. di Torino, Turin, Italy – sequence: 5 givenname: Riccardo E. surname: Zich fullname: Zich, Riccardo E. email: riccardo.zich@polimi.it organization: Energy Dept., Politec. di Milano, Milan, Italy |
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| Snippet | The aim of this paper is to present the adaptation of an Evolutionary Algorithm, Social Network Optimization (SNO) to multi-objective benchmark function. The... |
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| SubjectTerms | Antenna radiation patterns Correlation Indexes Linear programming Pareto optimization Social network services |
| Title | SNO multi-objective implementation for sparse array optimization |
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