A method on solving multiobjective conditional value-at-risk

1Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This paper studies Conditional Value-at-Risk (CVaR) with multiple losses. We introduce the concept of α-CVaR for the case of multiple losses under the confidence level vector α. The α-CVaR indicates the conditional expected losses corresponding to the α-VaR. The problem of solving the minimal α-CVaR results in a multiobjective problem (MCVaR). In order to get Pareto efficient solutions of the (MCVaR), we introduce a single objective problem (SCVaR) and show that the optimal solutions of the (SCVaR) are the Pareto efficient solutions of (MCVaR). © Springer-Verlag Berlin Heidelberg 2004.

Cite

CITATION STYLE

APA

Jiang, M., Hu, Q., & Meng, Z. (2004). A method on solving multiobjective conditional value-at-risk. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3039, 923–930. https://doi.org/10.1007/978-3-540-25944-2_119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free