Results 111 to 120 of about 259,960 (340)
Review of Reinforcement Learning and Evolutionary Computation Methods for StrategyExploration [PDF]
Reinforcement learning and evolutionary computation,as two types of nature-inspired learning paradigms,are the mainstream methods for solving strategy exploration problems,and the fusion of these two types of methods provides a general solution for ...
WANG Yao, LUO Junren, ZHOU Yanzhong, GU Xueqiang, ZHANG Wanpeng
doaj +1 more source
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Fitness Approximation Through Machine Learning with Dynamic Adaptation to the Evolutionary State
We present a novel approach to performing fitness approximation in genetic algorithms (GAs) using machine learning (ML) models, focusing on dynamic adaptation to the evolutionary state.
Itai Tzruia +3 more
doaj +1 more source
Insights into a long life without cancer: The case of the bowhead whale
Long‐lived, large‐bodied organisms have evolved powerful anticancer mechanisms that preserve cellular and tissue integrity across extended lifespans. A recent study by Firsanov et al. shows that greater genome stability is a key factor underlying the remarkable longevity and cancer resistance of one such species, the bowhead whale.
Inés Paniagua, Johanna A. Joyce
wiley +1 more source
ECoFFeS: A Software Using Evolutionary Computation for Feature Selection in Drug Discovery
Feature selection is of particular importance in the field of drug discovery. Many methods have been put forward for feature selection during recent decades.
Zhi-Zhong Liu +3 more
doaj +1 more source
Molecular cancer prevention: Intercepting disease
Oncological practice must evolve, from treating established tumours to proactive cancer interception before clinical manifestation. This will require mechanistic insight into tumour initiation, validated biomarkers of early disease development and redesigned clinical trials, enabling cancer interception to become a core pillar of oncology with the ...
Charlotte Grieco +2 more
wiley +1 more source
IEEE Transactions on Evolutionary Computation information for authors [PDF]
openalex +1 more source
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Exploring spatial programming through modularity based evolutionary computation
The application of evolutionary computing in architecture has advanced beyond active feedback to designers by integrating natural processes with computation to synchronize input from the final solution.
Resza Riskiyanto +2 more
doaj +1 more source
Editorial: Evolutionary computation-based machine learning and its applications for multi-robot systems. [PDF]
Ma L.
europepmc +1 more source

