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Gurobi Optimization deterministic misocp
Deterministic Misocp, 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/deterministic/deterministic+misocp/pm41582265-188-15-18
Average 86 stars, based on 1 article reviews
deterministic misocp - by Bioz Stars, 2026-09
86/100 stars

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Article Title: Solving constrained optimization problems via the variational quantum eigensolver with constraints
Article Snippet: Variational quantum approaches have shown great promise in finding near-optimal solutions to computationally challenging tasks, including solving optimization problems.. Nonetheless, optimization problems with constraints may not have been handled in a disciplined fashion thus far.. To address this gap, this work proposes a hybrid quantum-classical algorithmic paradigm termed the variational quantum eigensolver with constraints (VQEC) that extends the celebrated VQE to handle optimization with constraints.

Article Title: Mixed-integer optimisation of graph neural networks for computer-aided molecular design
Article Snippet: Second, we note that the use of a deterministic optimiser (i.e., Gurobi for MILPs) has the advantage of knowing how close one is to the actual solution, while running the algorithm, expressed by the optimality gap.

Article Title: Multiskilled workforce staffing and scheduling: A logic-based benders’ decomposition approach
Article Snippet: Section 5 demonstrates the cost savings achieved through workforce multiskilling and compares the performance of our model with the solution of the monolithic deterministic equivalent problem (MDEP) by Gurobi.

Article Title: Novel integer L-shaped method for parallel machine scheduling problem under uncertain sequence-dependent setups
Article Snippet: We study scheduling problems on unrelated parallel machines with uncertainty in job processing and sequence-dependent setup times.. We first formulate this problem as a two-stage stochastic program using a scenario-based approach, in which the first-stage decisions involve job-machine assignments, and the second-stage deals with job sequencing.. We then propose an innovative modified integer L-shaped method, uniquely designed to decompose the primary problem into independent subproblems at both the scenario and machine levels.

Article Title: A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators.
Article Snippet: AR TIC LE IN PR ES S ARTICLE IN PRESS For each configuration, solve the deterministic MISOCP using Gurobi 12.

Article Title: A machine learning approach to two-stage adaptive robust optimization
Article Snippet: Likewise, all deterministic optimization problems involved are solved with Gurobi.

Article Title: An electric vehicle battery recycling and remanufacturing supply chain network design with sustainability and robustness under demand uncertainty.
Article Snippet: With the acceptance of new energy vehicles, there is a disconnect between the rapid growth of electric vehicles and the nascent phase of the battery recycling industry.. In response to sustainable development, this paper presents a multi-objective model integrating economic, environmental, and social dimensions to design a sustainable closed-loop supply chain network for the electric vehicle battery industry.. In addition, a resilient strategy is applied, and a Fuzzy Robust Stochastic model incorporating Conditional Value at Risk (FRS-CVaR) is proposed to enhance the overall resilience and robustness of the supply chain network.

Article Title: A hybrid maintenance approach for key components of the train bogie to optimize fleet availability
Article Snippet: Gurobi uses the deterministic concurrent LP optimizer with both primal and dual simplex methods for the root relaxation.



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