Results 231 to 240 of about 1,503,716 (266)

A hybrid multi-level ant colony optimization framework for integrated production scheduling and vehicle routing. [PDF]

Sci Rep
Ashour M, Elsaeed A, Mesalam Y, Elshaer R.   +3 more
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Research on deep learning architecture optimization method for intelligent scheduling of structural space. [PDF]

Sci Rep
Ying W, Hui L.
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AoI-Aware Data Collection in Heterogeneous UAV-Assisted WSNs: Strong-Agent Coordinated Coverage and Vicsek-Driven Weak-Swarm Control. [PDF]

Sensors (Basel)
Huang L, Li L, Zhao S, Qu D, Xu J.
europepmc   +1 more source

DP2PNet: Diffusion-Based Point-to-Polygon Conversion for Single-Point Supervised Oriented Object Detection. [PDF]

Sensors (Basel)
Li P, Zhang L, Qu T.
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Large-Scale Assortment Optimization

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Large-Scale Network Topological Optimization

IEEE Transactions on Communications, 1977
A cost-effective structure for a large network is a multilevel hierarchy consisting of a backbone network and a family of local access networks. The backbone network is generally a distributed network, while the local access networks are typically centralized systems.
Boorstyn, Robert R., Frank, Howard
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Large-Scale Convex Optimization

2022
Starting from where a first course in convex optimization leaves off, this text presents a unified analysis of first-order optimization methods – including parallel-distributed algorithms – through the abstraction of monotone operators. With the increased computational power and availability of big data over the past decade, applied disciplines have ...
Ernest K. Ryu, Wotao Yin
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Large-Scale Nonlinear Optimization

2006
Fast Linear Algebra for Multiarc Trajectory Optimization (Nicolas Berend, J. Frederic Bonnans, Julien Laurent-Varin, MounirHaddou, Christophe Talbot).- Lagrange Multipliers with Optimal Sensitivity Properties in Constrained Optimization (Dimitri P. Bertsekas).- n O(n^2) Algorithm for Isotonic Regression (Oleg Burdakov, Oleg Sysoev, Anders Grimvall ...
DI PILLO, Gianni, ROMA, Massimo
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Large-scale system optimization

Computers & Chemical Engineering, 1986
Abstract This paper describes a quasi-Newtonian method for unconstrained minimization of objective functions which are the sum of several terms, each of which depends on a small number of variables.
G.M. Ostrovsky, Ye.M. Mikhailova, T.A. Berezhinsky   +2 more
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Large-Scale Portfolio Optimization

Management Science, 1984
This paper describes a practical algorithm for large-scale mean-variance portfolio optimization. The emphasis is on developing an efficient computational approach applicable to the broad range of portfolio models employed by the investment community. What distinguishes these from the “usual” quadratic program is (i) the form of the covariance matrix ...
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