Results 71 to 80 of about 998,636 (282)
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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On the bounded integer programming [PDF]
2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing and Communication Technologies, 2008 The best upper time bound for solving the bounded integer programming (BIP) up to now is poly(phi) ldr n2n+o(n), where n and phi are the dimension and the input size of the problem respectively. In this paper, we show that BIP is solvable in deterministic time poly(phi) ldr nn+o(n).
openaire +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
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
Advanced Robotics Research, EarlyView.A balanced multimodal food‐waste dataset and a novel Split Spatial‐Spectral Attention fusion framework are presented for robotic contaminant detection. Separate processing of RGB, thermal, and multispectral inputs preserves subtle material signatures before feature integration, reducing modality interference and improving classification and ...
Matthew Vestal +5 more
wiley +1 more source
A Novel Reduced-Order Analytical Fault Diagnosis Model for Power Grid
IEEE AccessPower grid fault diagnosis methods based on analytical models possess advantages such as logical rigor, strong interpretability, and high applicability.
Zhuonan Lin +3 more
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Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang, 2021 This research use development research wich aim to product mathematic learning that include implementation plans and woksheets based on pedagogical content knowledge in order to improve mathematical problem solving ability.
Ibut Priono Leksono +1 more
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Model Predictive Control for Magnetically Actuated Cellbots
Advanced Robotics Research, EarlyView.Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah +8 more
wiley +1 more source
Efficient election campaign optimization using integer programming
Journal of Industrial Engineering and Management, 2018 Purpose: Political parties spend significant amounts of resources during their election campaigns, which are usually designed in a sub-optimal and informal way.
Evren Güney
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A New Nonparametric Filled Function Method for Integer Programming Problems with Constraints
Mathematics, 2022 In this paper, we investigate and develop a new filled function method for solving integer programming problems with constraints. By adopting the appropriate equivalent transformation method, these problems are transformed into a class of box-constrained
Suxia Ma +3 more
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