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Benchmarks for Current Linear and Mixed Integer Optimization Solvers
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2015 Linear programming (LP) and mixed integer linear programming (MILP) problems belong among very important class of problems that find their applications in various managerial consequences.
Josef Jablonský
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Energy Reports, 2021 Optimization algorithms are tools used in the planning and operations of renewable energy-based distributed power systems. Mixed integer linear programming as a classical optimization method is considered in the literature for sizing nanogrid systems due
Gourab Das, M. De, K.K. Mandal
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Implied integrality in mixed-integer optimization
Mathematical ProgrammingAbstract Implied-integer detection is a well-known presolving technique that is used by many Mixed-Integer Linear Programming solvers. Informally, a variable is said to be implied integer if its integrality is enforced implicitly by integrality of other variables and the ...
Rolf van der Hulst, Matthias Walter
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Energy Reports, 2022 Due to the relatively large uncertainty and high cost of the power generation of the multi-energy power grid system, the power grid optimization scheduling with these problems as the object of the solution needs to take more targeted optimization ...
Yikai Lin, Xiaojun Tang, Xiaodong Fan
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Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
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An Improved DA-PSO Optimization Approach for Unit Commitment Problem
Energies, 2019 Solving the Unit Commitment problem is an important step in optimally dispatching the available generation and involves two stages—deciding which generators to commit, and then deciding their power output (economic dispatch).
Sirote Khunkitti +4 more
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Entropy, 2022 Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition.
Yu Tong, Bo Yu
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On the Complexity of Nonlinear Mixed-Integer Optimization [PDF]
, 2011 This is a survey on the computational complexity of nonlinear mixed-integer optimization. It highlights a selection of important topics, ranging from incomputability results that arise from number theory and logic, to recently obtained fully polynomial time approximation schemes in fixed dimension, and to strongly polynomial-time algorithms for special
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FATCOP: A Fault Tolerant Condor-PVM Mixed Integer Programming Solver [PDF]
, 1999 We describe FATCOP, a new parallel mixed integer program solver written in PVM. The implementation uses the Condor resource management system to provide a virtual machine composed of otherwise idle computers.
Chen, Qun, Ferris, Michael
core
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
Advanced Engineering Materials, EarlyView.We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
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