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.File in questo prodotto:
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