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Cardinality minimization, constraints, and regularization: a survey
We survey optimization problems that involve the cardinality of variable vectors in
constraints or the objective function. We provide a unified viewpoint on the general problem …
constraints or the objective function. We provide a unified viewpoint on the general problem …
A constrained portfolio selection model at considering risk-adjusted measure by using hybrid meta-heuristic algorithms
IB Salehpoor, S Molla-Alizadeh-Zavardehi - Applied Soft Computing, 2019 - Elsevier
Portfolio selection is a key issue in the business world and financial fields. This article
presents a new decision making method of portfolio optimization (PO) issues in different risk …
presents a new decision making method of portfolio optimization (PO) issues in different risk …
Sequential optimality conditions for cardinality-constrained optimization problems with applications
C Kanzow, AB Raharja, A Schwartz - Computational Optimization and …, 2021 - Springer
Recently, a new approach to tackle cardinality-constrained optimization problems based on
a continuous reformulation of the problem was proposed. Following this approach, we …
a continuous reformulation of the problem was proposed. Following this approach, we …
Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization
This paper studies mean-risk portfolio optimization models using the conditional value-at-
risk (CVaR) as a risk measure. We also employ a cardinality constraint for limiting the …
risk (CVaR) as a risk measure. We also employ a cardinality constraint for limiting the …
The trimmed lasso: Sparsity and robustness
Nonconvex penalty methods for sparse modeling in linear regression have been a topic of
fervent interest in recent years. Herein, we study a family of nonconvex penalty functions that …
fervent interest in recent years. Herein, we study a family of nonconvex penalty functions that …
An augmented Lagrangian method for cardinality-constrained optimization problems
C Kanzow, AB Raharja, A Schwartz - Journal of Optimization Theory and …, 2021 - Springer
A reformulation of cardinality-constrained optimization problems into continuous nonlinear
optimization problems with an orthogonality-type constraint has gained some popularity …
optimization problems with an orthogonality-type constraint has gained some popularity …
Dynamic multi-period sparse portfolio selection model with asymmetric investors' sentiments
Asymmetric investors' sentiments on returns and risks play an important role in updating the
portfolio strategies in multi-period portfolio selection problems. By introducing the Prospect …
portfolio strategies in multi-period portfolio selection problems. By introducing the Prospect …
Relaxation schemes for mathematical programmes with switching constraints
Switching-constrained optimization problems form a difficult class of mathematical
programmes since their feasible set is almost disconnected while standard constraint …
programmes since their feasible set is almost disconnected while standard constraint …
Second-order optimality conditions and improved convergence results for regularization methods for cardinality-constrained optimization problems
M Bucher, A Schwartz - Journal of Optimization Theory and Applications, 2018 - Springer
We consider nonlinear optimization problems with cardinality constraints. Based on a
continuous reformulation, we introduce second-order necessary and sufficient optimality …
continuous reformulation, we introduce second-order necessary and sufficient optimality …
Dynamic sparse portfolio rebalancing model: A perspective of investors' behavior-related decisions
J Wei, X Liu, W Fan - Knowledge-Based Systems, 2022 - Elsevier
By using the elaboration likelihood model (ELM) and prospect theory (PT) to model
investors' behavior-related decisions in portfolio optimization, we propose a novel dynamic …
investors' behavior-related decisions in portfolio optimization, we propose a novel dynamic …