Results 61 to 70 of about 321,863 (350)
Discovering Non-Linear Boolean Functions by Evolving Walsh Transforms with Genetic Programming
Algorithms, 2023 Stream ciphers usually rely on highly secure Boolean functions to ensure safe communication within unsafe channels. However, discovering secure Boolean functions is a non-trivial optimization problem that has been addressed by many optimization ...
Luigi Rovito +2 more
doaj +1 more source
Self-adaptation of mutation distribution in evolutionary algorithms [PDF]
, 2007 This paper is posted here with permission from IEEE - Copyright @ 2007 IEEEThis paper proposes a self-adaptation method to control not only the mutation strength parameter, but also the mutation distribution for evolutionary algorithms. For this purpose,
Tinos, R, Yang, S
core +2 more sources
Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source
A note on evolutionary stochastic portfolio optimization and probabilistic constraints [PDF]
, 2010 In this note, we extend an evolutionary stochastic portfolio optimization framework to include probabilistic constraints. Both the stochastic programming-based modeling environment as well as the evolutionary optimization environment are ideally suited ...
Hochreiter, Ronald
core
Adaptive Evolutionary Programming
Monthly Weather Review, 2015 Abstract Previous work has shown that evolutionary programming is an effective method for constructing skillful forecast ensembles. Here, two prototype adaptive methods are developed and tested, using minimum temperature forecast data for Chicago, Illinois, to determine whether they are capable of incorporating improvements to forecast ...
openaire +2 more sources
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Frontiers in Energy ResearchReactive power compensation (RPC) is a big problem during power system operation. Parenthetically, capacitor allocation and sizing may be the only convenient solution for RPC of power systems. The loss sensitivity factor (LSF) is applied here for finding
Mousumi Basu +5 more
doaj +1 more source
Evolution of a robotic soccer player [PDF]
, 2002 Robotic soccer is a complex domain where, rather than hand-coding computer programs to control the players, it is possible to create them through evolutionary methods.
Walker, Matthew
core
Assessing the robustness of parsimonious predictions for gene neighborhoods from reconciled phylogenies [PDF]
, 2015 The availability of a large number of assembled genomes opens the way to study the evolution of syntenic character within a phylogenetic context. The DeCo algorithm, recently introduced by B{\'e}rard et al.
Chauve, Cedric +2 more
core +5 more sources
Identification of novel small molecule inhibitors of ETS transcription factors
FEBS Letters, EarlyView.ETS transcription factors play an essential role in tumourigenesis and are indispensable for sprouting angiogenesis, a hallmark of cancer, which fuels tumour expansion and dissemination. Thus, targeting ETS transcription factor function could represent an effective, multifaceted strategy to block tumour growth. The evolutionarily conserved E‐Twenty‐Six
Shaima Abdalla +9 more
wiley +1 more source