Mahdi Mostajabdaveh
YOU?
Author Swipe
View article: Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences
Discrete Optimization of Min-Max Violation and its Applications Across Computational Sciences Open
We introduce the Discrete Min-Max Violation (DMMV) as a general optimization problem which seeks an assignment of discrete values to variables that minimizes the largest constraint violation. This context-free mathematical formulation is a…
View article: EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models
EvoCut: Strengthening Integer Programs via Evolution-Guided Language Models Open
Integer programming lies at the heart of crucial combinatorial optimization tasks but remains challenging due to its NP-hard nature. An effective approach for practically solving integer programs is the manual design of acceleration cuts, …
View article: SMARTAPS: Tool-augmented LLMs for Operations Management
SMARTAPS: Tool-augmented LLMs for Operations Management Open
Large language models (LLMs) present intriguing opportunities to enhance user interaction with traditional algorithms and tools in real-world applications. An advanced planning system (APS) is a sophisticated software that leverages optimi…
View article: Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Evaluating LLM Reasoning in the Operations Research Domain with ORQA Open
In this paper, we introduce and apply Operations Research Question Answering (ORQA), a new benchmark, to assess the generalization capabilities of Large Language Models (LLMs) in the specialized technical domain of Operations Research (OR)…
View article: Evaluating LLM Reasoning in the Operations Research Domain with ORQA
Evaluating LLM Reasoning in the Operations Research Domain with ORQA Open
In this paper, we introduce and apply Operations Research Question Answering (ORQA), a new benchmark designed to assess the generalization capabilities of Large Language Models (LLMs) in the specialized technical domain of Operations Resea…
View article: Analyzing modularity maximization in approximation, heuristic, and graph neural network algorithms for community detection
Analyzing modularity maximization in approximation, heuristic, and graph neural network algorithms for community detection Open
Community detection, which involves partitioning nodes within a network, has widespread applications across computational sciences. Modularity-based algorithms identify communities by attempting to maximize the modularity function across n…
View article: Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection
Analyzing Modularity Maximization in Approximation, Heuristic, and Graph Neural Network Algorithms for Community Detection Open
Community detection, which involves partitioning nodes within a network, has widespread applications across computational sciences. Modularity-based algorithms identify communities by attempting to maximize the modularity function across n…
View article: NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions Open
The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text description. Specifically, the goal of the competition is …
View article: Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar Open
Community detection is a fundamental problem in computational sciences with extensive applications in various fields. The most commonly used methods are the algorithms designed to maximize modularity over different partitions of the networ…
View article: Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar
Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar Open
Community detection is a fundamental problem in computational sciences with extensive applications in various fields. The most commonly used methods are the algorithms designed to maximize modularity over different partitions of the networ…
View article: Dataset of synthetic modular graphs from LFR and ABCD benchmark models for community detection
Dataset of synthetic modular graphs from LFR and ABCD benchmark models for community detection Open
This dataset contains randomly generated networks (random graphs) from a study on community detection. In total there are 50 network files. This includes 30 ABCD graphs and 20 LFR graphs as described in the article linked below. Each netwo…
View article: Dataset of networks used in assessing the Bayan algorithm for community detection
Dataset of networks used in assessing the Bayan algorithm for community detection Open
This dataset contains a range of randomly generated networks (random graphs) from a study on community detection. In total there are 520 network files. This includes 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Barabasi-Albert graphs as d…
View article: Dataset of networks used in accessing the Bayan algorithm for community detection
Dataset of networks used in accessing the Bayan algorithm for community detection Open
This dataset contains a range of randomly generated networks (random graphs) from a study on community detection. In total there are 520 network files. This includes 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Barabasi-Albert graphs as d…
View article: Dataset of networks used in assessing the Bayan algorithm for community detection
Dataset of networks used in assessing the Bayan algorithm for community detection Open
This dataset contains a wide range of randomly generated networks (random graphs) from a study on community detection. In total there are 1020 network files. This includes 500 ABCD graphs, 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Bara…
View article: LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application
LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application Open
Rindra Ramamonjison, Timothy Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Vol…
View article: Dataset of networks used in assessing the Bayan algorithm for community detection
Dataset of networks used in assessing the Bayan algorithm for community detection Open
This dataset contains a range of randomly generated networks (random graphs) from a study on community detection. In total there are 920 network files. This includes 400 ABCD graphs, 500 LFR graphs, 10 Erdos-Renyi graphs, and 10 Barabasi-A…
View article: Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity
Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity Open
Community detection is a classic network problem with extensive applications in various fields. Its most common method is using modularity maximization heuristics which rarely return an optimal partition or anything similar. Partitions wit…
View article: A Branch-and-Price Algorithm for Fast and Equitable Last-Mile Relief Aid Distribution
A Branch-and-Price Algorithm for Fast and Equitable Last-Mile Relief Aid Distribution Open
View article: Inequity-averse shelter location for disaster preparedness
Inequity-averse shelter location for disaster preparedness Open
We study the problem of selecting a set of shelter locations in preparation for natural disasters. Shelters provide victims of a disaster both a safe place to stay and relief necessities such as food, water and medical support. Individuals…