Results 81 to 90 of about 5,817,365 (365)
Evolutionary Algorithms for Quantum Computers [PDF]
Algorithmica, 2013 Algorithmica, 68 (1)
Johannsen, Daniel +2 more
openaire +4 more sources
Unraveling LINE‐1 retrotransposition in head and neck squamous cell carcinoma
Molecular Oncology, EarlyView.The novel RetroTest method allows the detection of L1 activation in clinical samples with low DNA input, providing global L1 activity and the identification of the L1 source element. We applied RetroTest to a real‐world cohort of HNSCC patients where we reported an early L1 activation, with more than 60% of T1 patients showing L1 activity.
Jenifer Brea‐Iglesias +12 more
wiley +1 more source
Jurnal Teknik Industri, 2001 This research gives an alternative to build production schedule using Evolutionary Algorithm. The objective function is minimizing production makespan. Shortest Processing Time (SPT) and Longest Processing Time (LPT) methods are used as initial solution.
Lala Febriana, I Gede Agus Widyadana
doaj
Understanding and measuring mechanical signals in the tumor stroma
FEBS Open Bio, EarlyView.This review discusses cancer‐associated fibroblast subtypes and their functions, particularly in relation to extracellular matrix production, as well as the development of 3D models to study tumor stroma mechanics in vitro. Several quantitative techniques to measure tissue mechanical properties are also described, to emphasize the diagnostic and ...
Fàtima de la Jara Ortiz +3 more
wiley +1 more source
An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling [PDF]
, 2005 Train timetabling is a difficult and very tightly constrained combinatorial problem that deals with the construction of train schedules. We focus on the particular problem of local reconstruction of the schedule following a small perturbation, seeking ...
Schoenauer, Marc, Semet, Yann
core +2 more sources
Sensors, 2019 Developing metaheuristic algorithms has been paid more recent attention from researchers and scholars to address the optimization problems in many fields of studies.
Nengxian Liu +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi +2 more
wiley +1 more source
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization
IEEE Transactions on Evolutionary Computation, 2019 Convergence and diversity are interdependently handled during the evolutionary process by most existing many-objective evolutionary algorithms (MaOEAs).
Y. Sun, Bing Xue, Mengjie Zhang, G. Yen
semanticscholar +1 more source
Parameter Control in Evolutionary Algorithms [PDF]
, 2007 The issue of setting the values of various parameters of an evolutionary algorithm is crucial for good performance. In this paper we discuss how to do this, beginning with the issue of whether these values are best set in advance or are best changed during evolution. We provide a classification of different approaches based on a number of complementary
Eiben, Aguston +3 more
openaire +6 more sources
Evolutionary algorithms for robust methods [PDF]
Research Papers in Economics, 2008 A drawback of robust statistical techniques is the increased computational effort often needed compared to non robust methods. Robust estimators possessing the exact fit property, for example, are NP-hard to compute. This means that — under the widely believed assumption that the computational complexity classes NP and P are not equal — there is no ...
Nunkesser, Robin, Morell, Oliver
openaire +4 more sources