Results 51 to 60 of about 8,428,042 (339)

Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm

open access: yesSensors, 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

Swarming genetic algorithm: A nested fully coupled hybrid of genetic algorithm and particle swarm optimization.

open access: yesPLoS ONE, 2022
Particle swarm optimization and genetic algorithms are two classes of popular heuristic algorithms that are frequently used for solving complex multi-dimensional mathematical optimization problems, each one with its one advantages and shortcomings ...
Panagiotis Aivaliotis-Apostolopoulos   +1 more
doaj   +1 more source

Parallel Genetic Algorithms’ Implementation Using a Scalable Concurrent Operation in Python

open access: yesSensors, 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

Implementation of Genetic Algorithm for Student Placement Process of Community Development Program in Universitas Gadjah Mada [PDF]

open access: yes, 2013
Community Development Program (CDP) is a required subject in Universitas Gadjah Mada for undergraduate students to earn a bachelor’s degree. One of the big problem in CDP implementation is student placement process into available thematic units.
Arfandi, N. (Nanang)   +1 more
core  

Aligning Multiple Sequences with Genetic Algorithm [PDF]

open access: yes, 2009
The alignment of biological sequences is a crucial tool in molecular biology and genome analysis. It helps to build a phylogenetic tree of related DNA sequences and also to predict the function and structure of unknown protein sequences by aligning ...
Adebiyi, E. F.   +2 more
core   +1 more source

Surfaceome: a new era in the discovery of immune evasion mechanisms of circulating tumor cells

open access: yesMolecular Oncology, EarlyView.
In the era of immunotherapies, many patients either do not respond or eventually develop resistance. We propose to pave the way for proteomic analysis of surface‐expressed proteins called surfaceome, of circulating tumor cells. This approach seeks to identify immune evasion mechanisms and discover potential therapeutic targets. Circulating tumor cells (
Doryan Masmoudi   +3 more
wiley   +1 more source

A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm [PDF]

open access: yesJournal 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
doaj  

An Implementation of Intrusion Detection System Using Genetic Algorithm [PDF]

open access: yesarXiv.org, 2012
Nowadays it is very important to maintain a high level security to ensure safe and trusted communication of information between various organizations. But secured data communication over internet and any other network is always under threat of intrusions
M. S. Hoque   +2 more
semanticscholar   +1 more source

Clinical applications of next‐generation sequencing‐based ctDNA analyses in breast cancer: defining treatment targets and dynamic changes during disease progression

open access: yesMolecular Oncology, EarlyView.
Circulating tumor DNA (ctDNA) offers a possibility for different applications in early and late stage breast cancer management. In early breast cancer tumor informed approaches are increasingly used for detecting molecular residual disease (MRD) and early recurrence. In advanced stage, ctDNA provides a possibility for monitoring disease progression and
Eva Valentina Klocker   +14 more
wiley   +1 more source

An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem

open access: yesAdvances 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

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