Results 41 to 50 of about 1,317,264 (362)
Genetic algorithm optimization of entanglement
, 2006 We present an application of a genetic algorithmic computational method to the optimization of the concurrence measure of entanglement for the cases of one dimensional chains, as well as square and triangular lattices in a simple tight-binding approach ...
G. Grosso +6 more
core +1 more source
Evaluating the origin and spread of spotted lanternfly (Lycorma delicatula) in Japan
Population Ecology, EarlyView.The invasive spotted lanternfly (Lycorma delicatula) is native to China and is a serious economic pest in the Republic of Korea and the United States, though it is not considered a pest in Japan. We established a distribution map of L. delicatula in Japan through a comprehensive review of published literature and citizen science reports and analyzed ...
Matthew T. Kamiyama +5 more
wiley +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
Mutual benefits of two multicriteria analysis methodologies: A case study for batch plant design [PDF]
, 2009 This paper presents a MultiObjective Genetic Algorithm (MOGA) optimization framework for batch plant design. For this purpose, two approaches are implemented and compared with respect to three criteria, i.e., investment cost, equipment number and a ...
Azzaro-Pantel, Catherine +1 more
core +2 more sources
Population Ecology, EarlyView.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
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
A GPU accelerated hybrid GA-SVM for large scale datasets: Cu-GA-SVM
Gazi Üniversitesi Fen Bilimleri Dergisi, 2018 In this study, CUDA based speed optimization of a hybrid method consisting of Genetic Algorithm and Support Vector Machines has been performed. In machine learning, it is aimed to achieve high accuracy values from the developed methods.
Musa PEKER, Osman ÖZKARACA
doaj +1 more source
Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
Sensors, 2020 The analysis of γ-ray spectra can be an arduous task, especially in the case of room temperature semiconductor detectors, where several distortions and instrumental artifacts conceal the true spectral shape.
Nicola Sarzi Amadè +5 more
doaj +1 more source
FEBS Letters, EarlyView.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
A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm [PDF]
Journal of Advances in Computer Engineering and Technology, 2018 Over the past few decades great efforts were made to solve uncertain hybrid optimization problems. The n-Queen problem is one of such problems that many solutions have been proposed for.
Monire Taheri Sarvetamin +2 more
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