Results 81 to 90 of about 321,863 (350)

Evolutionary programming of CNC machines

Journal of Materials Processing Technology, 2005
The paper proposes a new concept for programming of CNC machines. The concept based on genetic algorithms assures evolutionary generation and optimization of NC programs on the basis of CAD models of manufacturing environment. The structure, undergoing simulated evolution, is the population of NC programs.
Kovačič, Miha, Brezočnik, Miran, Pahole, Ivo, Balič, Jože, Kecelj, Borut   +4 more
openaire   +3 more sources

Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies

Molecular Oncology, EarlyView.
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren, Philippe Decruyenaere, Francisco Avila Cobos, Johanna Bult, Jill Deleu, Laudonia Lidia Dipalo, Hetty Hilde Helsmoortel, Eva Hulstaert, Annelien Morlion, Elena Ramos Varas, Kathleen Schoofs, Wim Trypsteen, Eveline Vanden Eynde, Hanne Van Droogenbroeck, Kimberly Verniers, Jo Vandesompele, Anneleen Decock   +16 more
wiley   +1 more source

RETRACTED: Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources

IET Generation, Transmission & Distribution
This manuscript suggests quasi‐oppositional fast convergence evolutionary programming (QOFCEP) technique to determine short‐term generation scheduling of fixed head hydrothermal system comprising pumped storage hydro plants (PSHPs), solar PV plants ...
Mousumi Basu, Saborni Das, Chitralekha Jena, Jyotsna Ogale, Ahmed Ali, Baseem Khan   +5 more
doaj   +1 more source

Optimal control problem and its solution by grey wolf optimizer algorithm

RUDN Journal of Engineering Research, 2018
The paper is devoted to a numerical method for solving the optimal control problem. The main approach to the numerical solution of the optimal control problem is the reduction of the optimal control problem to the problem of nonlinear programming and its
Askhat I Diveev, Sergey V Konstantinov
doaj   +1 more source

A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle

Entropy, 2020
RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate).
Juan Romero, Antonino Santos, Adrian Carballal, Nereida Rodriguez-Fernandez, Iria Santos, Alvaro Torrente-Patiño, Juan Tuñas, Penousal Machado   +7 more
doaj   +1 more source

Choose Your Programming Copilot: A Comparison of the Program Synthesis Performance of GitHub Copilot and Genetic Programming [PDF]

arXiv, 2021
GitHub Copilot, an extension for the Visual Studio Code development environment powered by the large-scale language model Codex, makes automatic program synthesis available for software developers. This model has been extensively studied in the field of deep learning, however, a comparison to genetic programming, which is also known for its performance
arxiv  

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

Molecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

Multi Expression Programming for solving classification problems [PDF]

arXiv, 2022
Multi Expression Programming (MEP) is a Genetic Programming variant which encodes multiple solutions in a single chromosome. This paper introduces and deeply describes several strategies for solving binary and multi-class classification problems within the \textit{multi solutions per chromosome} paradigm of MEP.
arxiv  

Integrative systems‐level analysis reveals a contextual crosstalk between hypoxia and global metabolism in human breast tumors

Molecular Oncology, EarlyView.
Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam, Salem Chouaib, Mohammad Askandar Iqbal   +2 more
wiley   +1 more source

Memory-Based Evolutionary Algorithms for Nonlinear and Stochastic Programming Problems

Mathematics, 2019
In this paper, we target the problems of finding a global minimum of nonlinear and stochastic programming problems. To solve this type of problem, we propose new approaches based on combining direct search methods with Evolution Strategies (ESs) and ...
Abdel-Rahman Hedar, Amira A. Allam, Wael Deabes   +2 more
doaj   +1 more source