Results 41 to 50 of about 8,029,668 (390)
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+5 more
wiley +1 more source
UniSchedApi: A comprehensive solution for university resource scheduling and methodology comparison
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+4 more
doaj +1 more source
In this paper the optimisation of the weighting functions for an H<sub>∞</sub> 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.+2 more
core +1 more source
Ortalama-varyans portföy optimizasyonunda genetik algoritma uygulamaları üzerine bir literatür araştırması [PDF]
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+3 more
core +2 more sources
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+7 more
wiley +1 more source
The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling
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
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 +1 more
doaj +1 more source
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+2 more
wiley +1 more source
Predicting recurrent aphthous ulceration using genetic algorithms-optimized neural networks
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+3 more
doaj
Genetic algorithms and engineering optimization
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