Results 51 to 60 of about 88,991 (314)
Differential Evolution with Enhanced Abilities for Adaptation Applied to Heterogeneous Numerical Optimization [PDF]
, 2012 This article presents an exploration of Differential Evolution (DE) algorithm with enhanced adaptability. The main purpose of this study is to identify how this search method can cope with changes of the number of variables of a hard design test, unaided.
Lazarova, Mariya, Penev, Kalin
core
Structural insights into an engineered feruloyl esterase with improved MHET degrading properties
FEBS Letters, EarlyView.A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa +5 more
wiley +1 more source
DIFFERENTIAL EVOLUTION ALGORITHM IN MODELS OF TECHNICAL OPTIMIZATION
Anwendungen und Konzepte der Wirtschaftsinformatik, 2021 At present, evolutionary optimization algorithms are increasingly used in the development of new technological processes. Evolutionary algorithms often allow the optimization procedure to be performed even in cases where classical optimization algorithms fail (e.g.
Roman Knobloch, Jaroslav Mlynek
openaire +1 more source
FEBS Letters, EarlyView.An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley +1 more source
, 2010 Continuous optimization is one of the areas with more activity in the field of heuristic optimization. Many algorithms have been proposed and compared on several benchmarks of functions, with different performance depending on the problems.
Antonio LaTorre +5 more
core +1 more source
Youqi dizhi yu caishouluAs a classical evolution algorithm， the differential evolution algorithm has the advantages of global search ability， easy implementation， and no gradient. It has been widely used in automatic reservoir history matching.
ZHANG Jinding +4 more
doaj +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Utilizing artificial intelligence to solving time – cost – quality trade-off problem
Scientific Reports, 2022 This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to ...
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
doaj +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Differential Evolution Markov Chain with snooker updater and fewer chains
, 2008 Differential Evolution Markov Chain (DE-MC) is an adaptive MCMC algorithm, in which multiple chains are run in parallel. Standard DE-MC requires at least N=2d chains to be run in parallel, where d is the dimensionality of the posterior.
Braak, C.J.F., ter, Vrugt, J.A.
core +1 more source