Results 51 to 60 of about 6,130,994 (293)
Differential Evolution Markov Chain with snooker updater and fewer chains [PDF]
, 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
A Reward Population-Based Differential Genetic Harmony Search Algorithm
Algorithms, 2022 To overcome the shortcomings of the harmony search algorithm, such as its slow convergence rate and poor global search ability, a reward population-based differential genetic harmony search algorithm is proposed.
Yang Zhang, Jiacheng Li, Lei Li
doaj +1 more source
FEBS Letters, EarlyView.Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell +2 more
wiley +1 more source
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 +1 more source
The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model [PDF]
, 2011 Differential evolution, GHK, MCMC, MNP, Service sector, C13, C15, C25, L25,
W. Erno Kuiper +5 more
core +1 more source
Polish Maritime Research, 2017 The multi-autonomous underwater vehicle (AUV) distributed task allocation model of a contract net, which introduces an equilibrium coefficient, has been established to solve the multi-AUV distributed task allocation problem.
Li Jianjun, Zhang Ru Bo
doaj +1 more source
Optimized Differential Evolution Algorithm for Software Testing
International Journal of Computational Intelligence Systems, 2018 Differential evolution (DE) algorithms for software testing usually exhibited limited performance and stability owing to possible premature-convergence-related aging during evolution processes.
Xiaodong Gou +4 more
doaj +1 more source
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Differential Evolution Algorithm with Three Mutation Operators for Global Optimization
MathematicsDifferential evolution algorithm is a very powerful and recently proposed evolutionary algorithm. Generally, only a mutation operator and predefined parameter values of differential evolution algorithm are utilized to solve various optimization problems,
Xuming Wang, Xiaobing Yu
doaj +1 more source