Results 61 to 70 of about 329,581 (308)
Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover
In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R. +4 more
core +1 more source
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Production Layout Planning Using Genetic Algorithms
Globalisation of entrepreneurship has not only opened world markets but also global competition. The fundamental criteria for decisions on allocation of manufacturing capacities are currently not only costs (manufacturing, logistics, etc.), but mainly ...
Martin Krajcovic, Viktor Hancinsky
doaj +1 more source
Genetic algorithm based DSP multiprocessor scheduling [PDF]
This paper presents recent work on the application of genetic algorithms to the NP-complete problem of multiprocessor scheduling for audio DSP algorithms.
Amphlett, RW, Bull, DR
core +1 more source
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
Chemometrics: From classical to genetic algorithms
In this paper the fundamentals of Chemometrics are presented, by means of a quick overview of the most relevant techniques for data display, classification, modeling and calibration.
Riccardo Leardi
doaj +1 more source
oz343 Genetic Algorithms for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems
This paper presents a new model using a genetic algorithm optimisation technique for determining the optimal schedule of chlorine dosing within a water distribution system considering multiple, competing objectives: disinfection control and aesthetic ...
Genetic Algorithms For
core
A Social Based Model For Genetic Algorithms. [PDF]
Genetic algorithms (GAs), as a general search model, have proved its success in several applications, however, recently, several researchers have argued that they have slow convergence; this slowness is due to the randomness in all their operations ...
Khader, Ahamad Tajudin +1 more
core
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source

