Code and Data Repository for Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers

The goal of this software is to demonstrate the effectiveness of the ADMM method proposed in this paper in the problem of decision making under cumulative prospect theory, as compared to other methods, as well as the effectiveness of the model when applied to empirical study.

Authors

Publication Details

Journal
INFORMS journal on computing
Published
2024-09-03
DOI
https://doi.org/10.1287/ijoc.2023.0243.cd
Citations
3
Primary Topic
Advanced Multi-Objective Optimization Algorithms
Type
article
Field-Weighted Citation Impact
1.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Code and Data Repository for Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers

Yun Shi, Xiangyu Cui, Rujun Jiang, Rufeng Xiao et al.
3 citations
INFORMS journal on computing
Advanced Multi-Objective Optimization Algorithms
1.08
article

Code and Data Repository for Decision Making Under Cumulative Prospect Theory: An Alternating Direction Method of Multipliers

Yun Shi, Xiangyu Cui, Rujun Jiang, Rufeng Xiao, Yifan Yan
article en
3 citations

Abstract

The goal of this software is to demonstrate the effectiveness of the ADMM method proposed in this paper in the problem of decision making under cumulative prospect theory, as compared to other methods, as well as the effectiveness of the model when applied to empirical study.

INFORMS journal on computing
Openalex Percentile: Top 20%
Advanced Multi-Objective Optimization Algorithms
1.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.