Graph learning assisted multi-objective integer programming

Y Wu, W Song, Z Cao, J Zhang… - Advances in Neural …, 2022 - proceedings.neurips.cc
Objective-space decomposition algorithms (ODAs) are widely studied for solving multi-
objective integer programs. However, they often encounter difficulties in handling scalarized …

[HTML][HTML] Multi-objective optimization for assigning reviewers to proposals based on social networks

XG Luo, HJ Li, ZL Zhang, W Jiang - Journal of Management Science and …, 2024 - Elsevier
Most of the literature on reviewer assignment problem (RAP) considers fitness or efficiency
as the evaluation criterion of an assignment, eg, the degree of matching between reviewers …

Supported nondominated points as a representation of the nondominated set: An empirical analysis

S Sayın - Journal of Multi‐Criteria Decision Analysis, 2024 - Wiley Online Library
The nondominated set of a multiple objective discrete optimization problem is known to
contain unsupported nondominated points, which outnumber the supported ones and are …

Multi-objective optimization and decision support systems

S Sayın - Encyclopedia of optimization, 2024 - Springer
The increased flexibility provided by the MOO framework also raises the question of what
constitutes a solution to it. The definition of optimality is no longer valid, as each objective …

Neural combinatorial optimization: from routing to integer programming

Y Wu - 2022 - dr.ntu.edu.sg
Combinatorial optimization problems (COPs) are an important branch of mathematical
optimization. It covers practical applications in many fields such as communication …

Interactive Algorithms to Solve Biobjective and Triobjective Decision Making Problems

T Denktaş - 2021 - search.proquest.com
We propose interactive algorithms to find the most preferred solution of biobjective and
triobjective integer programming problems. The algorithms can be used in any setting where …