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Abstract

We analyse a selection hyper-heuristic (SHH) and NSGAII for the multi-objective cardinality constrained portfolio optimisation problem, an NP-hard problem addressing the asset allocation trade-off between return and risk under constraints of the number of assets. We evaluated the performance of the SHH and NSGA-II for cardinality constraints K = {2, 5}. Our results are competitive with those of NSGA-II.

Publication Date

2025-08-31

Event

24th UK Workshop in Computational Intelligence

Acceptance Date

2025-07-15

Deposit Date

2025-09-03

Keywords

Evolutionary Algorithm, Hyper-heuristics, Metaheuristics, Combinatorial Problems, Portfolio Optimisation

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