Results 81 to 90 of about 813,318 (331)
Co-evolutionary Genetic Algorithms for Reactive Scheduling
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2010 Previous researches provided a reactive scheduling method using a genetic algorithm to improve disturbed production schedules, due to unexpected disruptions, such as delays of manufacturing operations.
Yoshitaka TANIMIZU +4 more
doaj +1 more source
Molecular Oncology, EarlyView.Generation of two normal and tumour (cancerous) paired human cell lines using an established tissue culture technique and their characterisation is described. Cell lines were characterised at cellular, protein, chromosome and gene expression levels and for HPV status.
Simon Broad +12 more
wiley +1 more source
Molecular Oncology, EarlyView.The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
A Genetic Algorithm for the Maximum 2–Packing Set Problem
International Journal of Applied Mathematics and Computer Science, 2020 Given an undirected connected graph G = (V, E), a subset of vertices S is a maximum 2-packing set if the number of edges in the shortest path between any pair of vertices in S is at least 3 and S has the maximum cardinality.
Trejo-Sánchez Joel Antonio +2 more
doaj +1 more source
Genetic algorithms in seasonal demand forecasting [PDF]
, 2000 The method of forecasting seasonal demand applying genetic algorithm is presented. Specific form of used demand function is shown in the first section of the article.
Chodak, Grzegorz, Kwaśnicki, Witold
core
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Heuristic algorithms in topological design of telecommunication networks
Journal of Telecommunications and Information Technology, 2003 The paper addresses the generic topological network design problem and considers the use of various heuristic algorithms for solving the problem. The target of the optimisation is to determine a network structure and demand allocation pattern that would
Piotr Karaś
doaj +1 more source
On the design of diploid genetic algorithms for problem optimization in dynamic environments [PDF]
Tihis article is posted here with permission from the IEEE - Copyright @ 2006 IEEEUsing diploidy and dominance is one method to enhance the performance of genetic algorithms in dynamic environments.
Yang, S
core +1 more source
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Design of Novel Metaheuristic Techniques for Clustering
IEEE Access, 2018 One of the major drawbacks of clustering techniques utilizing a predetermined number of clusters is that it does not guarantee convergence to the global optimum.
Dina A. Moussa +3 more
doaj +1 more source