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2020 – today
- 2024
[j7]Massimiliano Kaucic, Filippo Piccotto
, Gabriele Sbaiz:
A constrained swarm optimization algorithm for large-scale long-run investments using Sharpe ratio-based performance measures. Comput. Manag. Sci. 21(1): 6 (2024)- 2023
- [j6]Massimiliano Kaucic, Filippo Piccotto, Gabriele Sbaiz, Giorgio Valentinuz:
A hybrid level-based learning swarm algorithm with mutation operator for solving large-scale cardinality-constrained portfolio optimization problems. Inf. Sci. 634: 321-339 (2023) - 2022
- [c1]Massimiliano Kaucic, Filippo Piccotto:
A level-based learning swarm optimizer with a hybrid constraint-handling technique for large-scale portfolio selection problems. CEC 2022: 1-8 - [i1]Massimiliano Kaucic, Filippo Piccotto, Gabriele Sbaiz, Giorgio Valentinuz:
A hybrid level-based learning swarm algorithm with mutation operator for solving large-scale cardinality-constrained portfolio optimization problems. CoRR abs/2206.14760 (2022) - 2020
- [j5]Massimiliano Kaucic, Fabrizio Barbini, Federico Julian Camerota Verdù:
Polynomial goal programming and particle swarm optimization for enhanced indexation. Soft Comput. 24(12): 8535-8551 (2020)
2010 – 2019
- 2019
- [j4]Massimiliano Kaucic:
Equity portfolio management with cardinality constraints and risk parity control using multi-objective particle swarm optimization. Comput. Oper. Res. 109: 300-316 (2019) - [j3]Paolo Bevilacqua, Gianni Bosi, Massimiliano Kaucic, Magalì E. Zuanon:
Pareto Optimality on Compact Spaces in a Preference-Based Setting under Incompleteness. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(2): 239-249 (2019) - 2013
- [j2]Massimiliano Kaucic:
A multi-start opposition-based particle swarm optimization algorithm with adaptive velocity for bound constrained global optimization. J. Glob. Optim. 55(1): 165-188 (2013) - 2010
- [j1]Massimiliano Kaucic:
Investment using evolutionary learning methods and technical rules. Eur. J. Oper. Res. 207(3): 1717-1727 (2010)
Coauthor Index
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