Results 71 to 80 of about 7,641,552 (201)
SciThis paper addresses the simultaneous feeder routing and conductor sizing problem in unbalanced three-phase distribution systems, formulated as a nonconvex mixed-integer nonlinear program (MINLP) that minimizes the equivalent annualized expansion cost ...
Brandon Cortés-Caicedo +4 more
doaj +1 more source
From few‐shot learning to data‐efficient intelligence
AI Magazine, Volume 47, Issue 4, Winter 2026.Abstract Modern artificial intelligence (AI) has achieved remarkable progress by scaling data, model size, and computation. Yet scaling alone does not resolve one of the most fundamental gaps between machine and human intelligence: the ability to learn, adapt, and act from limited experience. This limitation is especially visible when labeled examples,
Yaqing Wang
wiley +1 more source
Decomposition-Based Method for Sparse Semidefinite Relaxations of Polynomial Optimization Problems [PDF]
We consider polynomial optimization problems pervaded by a sparsity pattern. It has been shown in [1, 2] that the optimal solution of a polynomial programming problem with structured sparsity can be computed by solving a series of semidefinite ...
Berc Rustem +2 more
core
Control Design Based on Generalized Lur'e Lyapunov Functions for Sampled‐Data Lur'e Systems
International Journal of Robust and Nonlinear Control, Volume 36, Issue 16, Page 7450-7463, 10 November 2026.ABSTRACT This article addresses the synthesis of stabilizing control laws for aperiodic sampled‐data Lur'e systems. Based on a hybrid system representation of the closed‐loop system and a timer‐dependent generalized Lur'e–Postnikov type Lyapunov function, stabilization conditions are obtained by separating decision variables with the application of two
Arthur Scolari Fagundes +2 more
wiley +1 more source
On the Complexity of Optimization over the Standard Simplex [PDF]
We review complexity results for minimizing polynomials over the standard simplex and unit hypercube.In addition, we show that there exists a polynomial time approximation scheme (PTAS) for minimizing Lipschitz continuous functions and functions with ...
Klerk, E. de +2 more
core
Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of intelligent autonomous devices.
Vyacheslav Kungurtsev +7 more
wiley +1 more source
Global solutions to nonconvex optimization of 4th-order polynomial and log-sum-exp functions [PDF]
, 2016 This paper presents a canonical dual approach for solving a nonconvex global optimization problem governed by a sum of 4th-order polynomial and a log-sum-exp function. Such a problem arises extensively in engineering and sciences.
Chen, Yi, Gao, David
core +1 more source
International Journal for Numerical Methods in Engineering, Volume 127, Issue 20, 30 October 2026.ABSTRACT This study enhances a framework of surrogate computational homogenization (SCH) using decision tree‐based partition‐of‐unity radial basis function (PU‐RBF) interpolation for three‐dimensional finite‐deformation two‐scale analysis. The method addresses the scalability limitation of global RBF interpolation for large numerical material test (NMT)
Yosuke Yamanaka +2 more
wiley +1 more source
Topics in Nonconvex Optimization
, 2011 Nonconvex Optimization is a multi-disciplinary research field that deals with the characterization and computation of local/global minima/maxima of nonlinear, nonconvex, nonsmooth, discrete and continuous functions.
Mishra, Shashi Kant
core +1 more source
Nanophotonics, Volume 15, Issue 19, 13 October 2026.A deep reinforcement‐learning framework designs dielectric metasurfaces supporting dual quasi‐BIC resonances under tightly coupled multi‐objective constraints. By combining D3QN, rollout‐based lookahead, reward normalization, and prioritized replay, the method stabilizes the optimization of the resonance wavelength, quality factor, and near‐field ...
Ruixin Luo +8 more
wiley +1 more source