Results 81 to 90 of about 43,517 (303)
RGFGA: An efficient representation and crossover for grouping genetic algorithms [PDF]
, 2005 There is substantial research into genetic algorithms that are used to group large numbers of objects into mutually exclusive subsets based upon some fitness function. However, nearly all methods involve degeneracy to some degree.
Crampton, J, Tucker, A, Swift, S
core
Recombination and Self-Adaptation in Multi-objective Genetic Algorithms [PDF]
, 2004 This paper investigates the influence of recombination and self-adaptation in real-encoded Multi-Objective Genetic Algorithms (MOGAs). NSGA-II and SPEA2 are used as example to characterize the efficiency of MOGAs in relation to various recombination ...
Régnier, Jérémi +5 more
core +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Evolutionary Timetabling Using Biased Genetic Operators [PDF]
, 2003 Evolutionary Algorithms have proved to be a flexible and effective technique for addressing various instances of the timetabling problem. This article describes an investigation and its results on an evolutionary approach to solving a particular class of
Daniel Danciu
core +2 more sources
Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model [PDF]
International Journal BioautomationEight single (SGA) and eight multi-population (MGA) genetic algorithms (GA) differing in the sequence of implementation of the main genetic operators’ selection, crossover and mutation, or omitting the mutation operator, have been examined for the ...
Maria Angelova, Tania Pencheva
doaj +1 more source
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
New operators for non-functional genetic improvement [PDF]
, 2017 Genetic improvement uses automated search to find improved versions of existing software. Typically software is modified using either delete, copy or replace operations at the level of source code, its abstract syntax tree, binary or assembly ...
Justyna Petke, Petke, J
core +1 more source
FEBS Letters, EarlyView.Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura +2 more
wiley +1 more source
Tsinghua Science and TechnologySparse Large-scale Multi-objective Optimization Problems (sparse LMOPs) widely exist in various optimization applications, such as neural network training, portfolio optimization, and feature selection of classification.
Panpan Zhang +5 more
doaj +1 more source
An Operator Based Adaptive Genetic Algorithm [PDF]
, 2006 Genetic Algorithms (GAs) are a robust heuristic search technique capable of taking on a broad range of optimization problems. In most GAs, components and parameters are predetermined and remain static throughout its run. In this paper, it is hypothesized that a GA’s performance and robustness can be enhanced through the ‘online’ adaptation of the ...
Koh Sueyi, Leowsoo Kar, Kar-Seng Loke
openaire +1 more source