Results 31 to 40 of about 4,528,698 (293)
New Genetic Operators for Developing S-Boxes With Low Boomerang Uniformity
IEEE Access, 2022 The boomerang uniformity measures the resistance of block ciphers to boomerang attacks and has become an essential criterion of the substitution box (S-box).
Man Kang, Mingsheng Wang
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Intelligent Test Paper Generation with Genetic Algorithm
Gazi Üniversitesi Fen Bilimleri Dergisi, 2017 In this study, the solution of the problem of generating an intelligent test paper with a genetic algorithm is presented depending on the required criteria in a question bank.
Ufuk TÜL, Adem TUNCER
doaj +1 more source
Parallel Genetic Algorithms’ Implementation Using a Scalable Concurrent Operation in Python
Sensors, 2022 This paper presents an implementation of the parallelization of genetic algorithms. Three models of parallelized genetic algorithms are presented, namely the Master–Slave genetic algorithm, the Coarse-Grained genetic algorithm, and the Fine-Grained ...
Vladislav Skorpil, Vaclav Oujezsky
doaj +1 more source
Variations of Genetic Algorithms
CoRR, 2019 The goal of this project is to develop the Genetic Algorithms (GA) for solving the Schaffer F6 function in fewer than 4000 function evaluations on a total of 30 runs. Four types of Genetic Algorithms (GA) are presented - Generational GA (GGA), Steady-State (mu+1)-GA (SSGA), Steady-Generational (mu,mu)-GA (SGGA), and (mu+mu)-GA.
Alison Jenkins +3 more
openaire +2 more sources
On the practical genetic algorithms [PDF]
Proceedings of the 7th annual conference on Genetic and evolutionary computation, 2005 This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve real-world problems. As an important design component, a practical population-sizing model is presented and verified.
Chang Wook Ahn +2 more
openaire +1 more source
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +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
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Advances in Mechanical Engineering, 2018 Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
doaj +1 more source