Results 91 to 100 of about 18,755 (251)
This paper advocates the use of methods based on global approximation models for optimization problems with time-consuming function evaluations and integer variables.We show that methods based on local approximations may lead to the integer rounding of ...
Brekelmans, R.C.M. +4 more
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, 1999 This lecture note is intended for use in the course 04212 Optimization and Data Fitting at the Technincal University of Denmark. It covers about 25% of the curriculum. Hopefully, the note may be useful also to interested persons not participating in that
Poul Erik Frandsen +7 more
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Deep Underground Science and Engineering, EarlyView.Through shear–tensile creep tests and viscoelastic modeling, the fracture evolution of thick soft protective layers is clarified. Results show thickness‐dependent rheological failure modes that govern four types of roof water inrush, providing a mechanism‐based framework for hazard prediction and control. Abstract In the Jurassic coal‐bearing strata of
Mengnan Liu +4 more
wiley +1 more source
Adaptive cuckoo search algorithm for unconstrained optimization. [PDF]
ScientificWorldJournal, 2014 Ong P.
europepmc +1 more source
Some modifications of conjugate gradient coefficient for unconstrained optimization
, 2010 Conjugate gradient methods hold an important role in unconstrained optimization. Numerous studies and modifications have been done recently to improve this method. However, these new modifications tend to be complicated and difficult.
Mohd Rivaie Mohd Ali
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ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A synergistic molecular strategy is demonstrated to disrupt intrinsic ππ stacking in pitch, boosting 6‐fold sulfonation, yielding a hard carbon with 0.371 nm interlayer spacing and maximized closed pores, and achieving a high reversible capacity, remarkable rate capability (205.6 mAh g−1 at 2 A g−1) and cyclic stability.
Xiang Wang +8 more
wiley +1 more source
New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping
, 2016 In this paper , we suggested a new conjugate gradient algorithm for unconstrained optimization based on logistic mapping, descent condition and sufficient descent condition for our method are provided. Numerical results show that our presented algorithm
Shareef G. Shareef +2 more
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Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy
Epilepsia, EarlyView.Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie +10 more
wiley +1 more source
Parallel Unconstrained Optimization
, 1993 We deal with the parallel solution of the nonlinear, unconstrained, optimization problem minff(x) j x 2 R n g where the objective function f : R n ! R is continuous and differentiable.
Kwok L. Chow
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Energy Science &Engineering, EarlyView.The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali +5 more
wiley +1 more source