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Gurobi Optimization gurobi optimizer software
Gurobi Optimizer Software, supplied by Gurobi Optimization, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/optimization+software/gurobi+optimizer/pmc13195783-107-8-8
Average 86 stars, based on 1 article reviews
gurobi optimizer software - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling
Article Snippet: The computational experiments, implemented in Python and solved using Gurobi Optimizer v9.5.2, consistently reached near-optimal solutions with an optimality gap below \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$10^{-4}$$\end{document} .

Article Title: Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling
Article Snippet: The computational experiments were performed using Python V.3.10 and Gurobi Optimizer V 9.5.2.

Article Title: Adaptive large neighborhood search for the pickup and delivery problem with nonlinear charging and load-dependent discharging using autonomous mobile robots
Article Snippet: As the use of autonomous mobile robots (AMRs) has increased in material handling systems, it has become essential to incorporate their unique characteristics and constraints into the pickup and delivery problem.. Additionally, request scheduling and charging arrangements should be considered simultaneously to maintain battery feasibility during transportation tasks.. Realistic charging and discharging assumptions must also be integrated into the model.

Article Title: Bi-objective location-allocation model of interventions in high drug consumption areas incorporating X topic modeling.
Article Snippet: The computational experiments, implemented in Python and solved using Gurobi Optimizer v9.5.2, consistently reached near-optimal solutions with an optimality gap below 10−4.

Software:

Article Title: Mitigating climate change in sports leagues: A scenario-based analysis of travel distances in women’s and men’s amateur soccer in Germany
Article Snippet: .. A near-optimal allocation of teams to groups was computed with an algorithm developed for this study, as the Gurobi Optimizer software (Gurobi 10.0.0; Gurobi Optimization, Beaverton, OR, USA) was unable to obtain good solutions for large instances within a reasonable timeframe. ..

Article Title: Mitigating climate change in sports leagues: A scenario-based analysis of travel distances in women’s and men’s amateur soccer in Germany
Article Snippet: .. An optimized league schedule was computed using the Gurobi Optimizer software by formulating Scenario B as a mixed integer program. ..

Comparison:

Article Title: Micro-mobility dispatch optimization via quantum annealing incorporating historical data.
Article Snippet: .. For comparison and obtaining exact solutions, we employed Gurobi Optimizer 13.0 running on a computer equipped with an AMD Ryzen Threadripper PRO 5995WX and 256 GB RAM. .. Gurobi is widely recognized as a standard and high-performance solver for integer programming problems.



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