A fast hybrid refining optimization with sensitivity-based partitioning approach for truss structures [PDF]
مجله مدل سازی در مهندسی, 2019 So far, several methods have been utilized for truss optimization where metaheuristic thechniqes have been used as one of the most common methods for such purpose.
Saeed Farahi Shahri +2 more
doaj +1 more source
MESH: A Flexible Manifold-Embedded Semantic Hashing for Cross-Modal Retrieval
IEEE Access, 2020 Hashing based methods for cross-modal retrieval has been widely explored in recent years. However, most of them mainly focus on the preservation of neighborhood relationship and label consistency, while ignore the proximity of neighbors and proximity of ...
Fangming Zhong +3 more
doaj +1 more source
Parallel representation of local elimination algorithm for accelerating the solving sparse discrete optimization problems [PDF]
Компьютерные исследования и моделирование, 2015 The decomposition algorithms provide approaches to deal with NP-hardness in solving discrete optimization problems (DOPs). In this article one of the promising ways to exploit sparse matrices - local elimination algorithm in parallel interpretation (LEAP)
D. V. Lemtyuzhnikova
doaj +1 more source
A Method for Degenerate Primer Design Based on Artificial Bee Colony Algorithm
Applied Sciences, 2022 Aiming to address the complex degenerate primer design problem in the biological field, in this paper, we design a degenerate primer optimization model considering primer coverage and degeneracy that allows a small number of base mismatches, and propose ...
Ruhui Liu +4 more
doaj +1 more source
Discrete Mechanics and Optimal Control for Space Trajectory Design [PDF]
, 2011 Space trajectory design is often achieved through a combination of dynamical systems theory and optimal control. The union of trajectory design techniques utilizing invariant manifolds of the planar circular restricted three-body problem and the optimal ...
Moore, Ashley
core +1 more source
CAD and Discrete Optimization [PDF]
, 1997 Review of Discrete Optimization Techniques for CAD Discrete optimization in the structure design Morphological method The alternative graph approach Convex discrete optimization without objective function Matroidal Decomposition in design Decomposition ...
Kovalev, M.
core +1 more source
Replication Data for: eSLP optimization algorithm
, 2023 m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
core +1 more source
Integrated optimization of timetabling and Electric Vehicle Scheduling
EURO Journal on Transportation and LogisticsWe tackle the integrated planning problem of periodic timetabling and electric vehicle scheduling, crucial for cities transitioning to electric bus fleets.
Vladimir Stadnichuk +3 more
doaj +1 more source
Gaussian Markov Random Fields for Discrete Optimization via Simulation: Framework and Algorithms
Operational Research, 2019 This paper lays the foundation for employing Gaussian Markov random fields (GMRFs) for discrete decision–variable optimization via simulation; that is, optimizing the performance of a simulated system.
Peter L. Salemi +3 more
semanticscholar +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source