Results 71 to 80 of about 1,590,381 (357)
Numerical simulation of differential-algebraic equations with embedded global optimization criteria [PDF]
We are considering differential-algebraic equations with embedded optimization criteria (DAEOs) in which the embedded optimization problem is solved by global optimization. This actually leads to differential inclusions for cases in which there are multiple global optimizer at the same time.
arxiv
Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data.
Klavdiia Naumova+4 more
doaj +1 more source
Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization
Calibration of the Energy Exascale Earth System Model (E3SM), land model (ELMv0) is challenging because of its model complexity, strong model nonlinearity, and significant computational requirements. Therefore, only a limited number of simulations can be
Dan Lu+3 more
doaj +1 more source
Temporal relation recognition method based on news event fragments
Event fragments as the smallestr unit was defined and a two-stage event fragments temporal relation recognition algorithm was proposed.The first stage is sequential mapping and the second is sequence recognition.The real online data increased accuracy by
Ying-jun LI,Hong-li ZHANG,Xing WANG
doaj +1 more source
a geometric approach to global optimization [PDF]
In this paper we consider the problem of optimizing a piecewise-linear objective function over a non-convex domain. In particular we do not allow the solution to lie in the interior of a prespecified region R. We discuss the geometrical properties of this problems and present algorithms based on combinatorial arguments.
Nickel, Stefan, Schöbel, Anita
openaire +3 more sources
Global Optimization Requires Global Information [PDF]
There are many global optimization algorithms which do not use global information. We broaden previous results, showing limitations on such algorithms, even if allowed to run forever. We show that deterministic algorithms must sample a dense set to find the global optimum value and can never be guaranteed to converge only to global optimizers. Further,
W. P. Baritompa, Chris Stephens
openaire +2 more sources
Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones
Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley +1 more source
Aiming at the shortcoming that the basic beetle antennae search algorithm fails to consider differences between individuals and the dynamic information in the searching process, this paper proposed a new beetle antennae search algorithm based on the ...
Xuan Shao, Yuqi Fan
doaj +1 more source
The True Destination of EGO is Multi-local Optimization
Efficient global optimization is a popular algorithm for the optimization of expensive multimodal black-box functions. One important reason for its popularity is its theoretical foundation of global convergence.
Preuss, Mike, Wessing, Simon
core +1 more source
Unraveling Mycobacterium tuberculosis acid resistance and pH homeostasis mechanisms
Mycobacterium tuberculosis exhibits a remarkable resilience to acid stress. In this Review, we discuss some of the molecular mechanisms and metabolic pathways used by the tubercle bacilli to adapt and resist host‐mediated acid stress. Mycobacterium tuberculosis (Mtb) is a successful pathogen that has developed a variety of strategies to survive and ...
Janïs Laudouze+3 more
wiley +1 more source