In this paper, new solutions to a benchmark TEAM problem for multi-objective optimization are given. The benchmark was recently proposed, and it is the only one dealing with multi-objective optimization among the TEAM benchmark problems. For solving this problem, an algorithm based on swarm intelligence, the CFSO algorithm, is used. The results are compared with those obtained with the well-known algorithm NSGA-II.

The Benchmark TEAM Problem for Multi-Objective Optimization Solved with CFSO / Di Barba P.; Mognaschi M.E.; Lozito G.M.; Salvini A.; Dughiero F.; Sieni I.E.. - ELETTRONICO. - (2018), pp. 1-5. ((Intervento presentato al convegno 4th IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2018 tenutosi a ita nel 2018 [10.1109/RTSI.2018.8548364].

The Benchmark TEAM Problem for Multi-Objective Optimization Solved with CFSO

Lozito G. M.;
2018

Abstract

In this paper, new solutions to a benchmark TEAM problem for multi-objective optimization are given. The benchmark was recently proposed, and it is the only one dealing with multi-objective optimization among the TEAM benchmark problems. For solving this problem, an algorithm based on swarm intelligence, the CFSO algorithm, is used. The results are compared with those obtained with the well-known algorithm NSGA-II.
IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings
4th IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2018
ita
2018
Di Barba P.; Mognaschi M.E.; Lozito G.M.; Salvini A.; Dughiero F.; Sieni I.E.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1247590
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