Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL). [PDF]
Bayoumi H +3 more
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Revisiting motif finding: do bi-objective metaheuristics surpass single-objective metaheuristics? [PDF]
Nayeem MA +3 more
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Consensus-based qubit configuration optimization for variational algorithms on neutral atom quantum systems. [PDF]
de Keijzer RJPT +3 more
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Robust securable economic operation of grid-connected renewable integrated energy system with hydrogen storage and electric and fuel cell vehicles. [PDF]
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A Unified Theory for Structural Optimization and Accelerated Search in NP-Hard Problems
Andrés Sebastián, Pirolo
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Mathematical models based on optimization problems
van Sjl Stef Eijndhoven
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On the Optimal Tracking Problem
SIAM Journal on Control and Optimization, 1992Summary: The problem of optimally tracking a stochastic process based on noisy measurements through a window is being considered. Such a problem arises in a variety of applications where the field of view of the measuring device is limited (e.g., the ``aiming'' problem).
Zeitouni, Ofer, Zakai, Moshe
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On the Problem of Optimal Reconstruction
Journal of Fourier Analysis and Applications, 2007Lower bounds are found for linear and Alexandrov's cowidths of Sobolev's classes on compact homogeneous Riemannian manifolds \(M^d\). Using these results, the authors give an explicit solution for the problem of optimal reconstruction of functions from Sobolev's classes \(W_p^r(M^d)\) in \(L_q(M^d)\), \(1 \leq q \leq p\leq \infty\).
Kushpel, Alexander, Tozoni, Sergio
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On the Problem of Optimal Cutting
SIAM Journal on Optimization, 2002Let \(\Omega\) denote a smooth domain in \(\mathbb{R}^2\) (the membrane) in which two points \(A\) and \(B\) are fixed. The class of admissible cuts of the membrane is the set \(U=\{\Gamma \subset\overline \Omega:A,B \in\Gamma\), \(\Gamma\) is compact and connected\}, and for each cut \(\Gamma\) the associated energy is given by \[ {\mathcal E}(\Gamma)=
BUCUR D., BUTTAZZO, GIUSEPPE, VARCHON N.
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Conversion of optimal control problems into parameter optimization problems
Guidance, Navigation, and Control Conference, 1996Summary: Several methods exist for converting optimal control problems into parameter optimization problems, and they are categorized by the unknowns of the parameter optimization problem, the numerical integration technique, and the order of the integration technique.
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