Results 71 to 80 of about 3,829,483 (294)
Genetic algorithms for the generation of models with micropopulations [PDF]
, 2003 Proceedings of: EvoWorkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM Essex, UK, April 14–16, 2003The present article puts forward a method for an interactive model generation through the use of Genetic Algorithms applied to small ...
Sáez, Yago +9 more
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The genetic algorithm in science
Pesticide Science, 1995 AbstractAlgorithms developed for use in the study of artificial intelligence also show promise in such quite different fields as the physical and life sciences. These methods may have advantages in speed, scope, or both, over more conventional scientific methods, and expand the range of algorithmic techniques open to the scientist. The mechanism of one
openaire +2 more sources
Molecular Oncology, EarlyView.Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso +5 more
wiley +1 more source
APPLICATION OF THE DIRECTED MUTATION TO CELLULAR AUTOMATA GENERATION PROCESS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2014 Cellular automata are widely used for the simulation of discrete systems. However, in most cases creation of controlling cellular automata is done manually, empirically or by exhaustive search. A number of papers describe methods for automatic generation
A. V. Tikhomirov, A. A. Shalyto
doaj
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
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Genetic algorithm based DSP multiprocessor scheduling [PDF]
, 1996 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 +3 more
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Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
Molecular Oncology, EarlyView.How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
Higher-Order Quantum-Inspired Genetic Algorithms [PDF]
Annals of computer science and information systems, 2014 Robert Nowotniak, Jacek Kucharski
doaj +1 more source
An incremental approach to genetic algorithms based classification [PDF]
, 2005 Incremental learning has been widely addressed in the machine learning literature to cope with learning tasks where the learning environment is ever changing or training samples become available over time. However, most research work explores incremental
Guan, SU, Zhu, F, Zhu, F., Guan, S.-U.
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Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
Molecular Oncology, EarlyView.New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source