Results 41 to 50 of about 8,029,668 (390)

Comparison of kinship‐identification methods for robust stock assessment using close‐kin mark–recapture data for Pacific bluefin tuna

Population Ecology, Volume 67, Issue 2, Page 140-152, April 2025.
In this study, we compared three methods for kinship identification using different algorithms in samples of wild Pacific bluefin tuna and generated genotyping data. The three methods resulted in different numbers of inferred kinship pairs for both generated and actual data. Particularly for the half‐sibling pairs, considerable number of false‐positive
Yohei Tsukahara, Reiichiro Nakamichi, Aiko Matsuura, Tetsuya Akita, Atushi Fujiwara, Nobuaki Suzuki   +5 more
wiley   +1 more source

UniSchedApi: A comprehensive solution for university resource scheduling and methodology comparison

TESEA, Transactions on Energy Systems and Engineering Applications
This paper introduces UniSchedApi, an API-based solution that revolutionizes optimized university resource scheduling. The primary focus of the research is the detailed evaluation of two automatic resource allocation methods: Tabu Search (TS) and ...
Alexandra La Cruz, Luis Herrera, Jeisson Cortes, Andrés García, Erika Severeyn   +4 more
doaj   +1 more source

Optimisation of the weighting functions of an H_∞ controller using genetic algorithms and structured genetic algorithms

, 2008
In this paper the optimisation of the weighting functions for an H_∞ controller using genetic algorithms and structured genetic algorithms is considered. The choice of the weighting functions is one of the key steps in the design of
Alfaro-Cid, E., McGookin, E.W., Murray-Smith, D.J.   +2 more
core   +1 more source

Ortalama-varyans portföy optimizasyonunda genetik algoritma uygulamaları üzerine bir literatür araştırması [PDF]

, 2017
Mean-variance portfolio optimization model, introduced by Markowitz, provides a fundamental answer to the problem of portfolio management. This model seeks an efficient frontier with the best trade-offs between two conflicting objectives of maximizing ...
Akyer, Hasan, Aygören, Hakan, Ertenlice, Ökkeş, Kalaycı, Can Berk   +3 more
core   +2 more sources

Insights into the renal pathophysiology in Hermansky‐Pudlak syndrome‐1 from urinary extracellular vesicle proteomics and a new mouse model

FEBS Letters, Volume 599, Issue 7, Page 1055-1074, April 2025.
Hermansky‐Pudlak syndrome type 1 (HPS‐1) is a rare, autosomal recessive disorder with poorly understood renal involvement. Urinary extracellular vesicle (uEV) proteomics and a novel Hps1 mouse model reveal mitochondrial abnormalities and lipid accumulation in HPS‐1 kidney proximal tubule cells. Serum ApoA1 correlates with kidney function in our patient
Dawn M. Maynard, Bernadette R. Gochuico, Hadass Pri Chen, Christopher K. E. Bleck, Patricia M. Zerfas, Wendy J. Introne, William A. Gahl, May C. V. Malicdan   +7 more
wiley   +1 more source

The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling

Journal of Telecommunications and Information Technology, 2015
The aim of the paper is to present the possibilities of modeling the experimental data by Gaussian processes. Genetic algorithms are used for finding the Gaussian process parameters.
Agnieszka Krok
doaj   +1 more source

APPLICATION OF GENETIC ALGORITHMS TO THE TRAVELING SALESMAN PROBLEM

Applied Computer Science, 2023
The purpose of this paper was to investigate in practice the possibility of using evolutionary algorithms to solve the traveling salesman problem on a real example.
Tomasz SIKORA , Wanda GRYGLEWICZ-KACERKA   +1 more
doaj   +1 more source

Cytosolic‐enhanced dark Epac‐based FRET sensors allow for intracellular cAMP detection in live cells via FLIM

FEBS Letters, Volume 599, Issue 7, Page 1075-1085, April 2025.
We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti, Jeffrey B. Klarenbeek, Kees Jalink   +2 more
wiley   +1 more source

Predicting recurrent aphthous ulceration using genetic algorithms-optimized neural networks

Advances and Applications in Bioinformatics and Chemistry, 2010
Najla S Dar-Odeh1, Othman M Alsmadi2, Faris Bakri3, Zaer Abu-Hammour2, Asem A Shehabi3, Mahmoud K Al-Omiri1, Shatha M K Abu-Hammad4, Hamzeh Al-Mashni4, Mohammad B Saeed4, Wael Muqbil4, Osama A Abu-Hammad1 1Faculty of Dentistry, 2Faculty of Engineering ...
Najla S Dar-Odeh, Othman M Alsmadi, Faris Bakri, et al   +3 more
doaj  

Genetic algorithms and engineering optimization

, 1999
Foundations of Genetic Algorithms. Combinatorial Optimization Problems. Multiobjective Optimization Problems. Fuzzy Optimization Problems. Reliability Design Problems. Scheduling Problems. Advanced Transportation Problems.
M. Gen, Runwei Cheng
semanticscholar   +1 more source