Results 71 to 80 of about 240,484 (316)
Evolutionary Computation Methods and their applications in Statistics
Statistica, 2013 A brief discussion of the genesis of evolutionary computation methods, their relationship to artificial intelligence, and the contribution of genetics and Darwin’s theory of natural evolution is provided.
Francesco Battaglia
doaj +1 more source
Social context prevents heat hormetic effects against mutagens during fish development
FEBS Letters, EarlyView.This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere +5 more
wiley +1 more source
Quality Diversity: A New Frontier for Evolutionary Computation
Frontiers in Robotics and AI, 2016 While evolutionary computation and evolutionary robotics take inspiration from nature, they have long focused mainly on problems of performance optimization.
Justin K Pugh +2 more
doaj +1 more source
A Technique for Improving Web Mining using Enhanced Genetic Algorithm [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined ...
F. Nosratian, H. Nematzadeh, H. Motameni
doaj +1 more source
miRNA‐29 regulates epidermal and mesenchymal functions in skin repair
FEBS Letters, EarlyView.miRNA‐29 inhibits cell‐to‐cell and cell‐to‐matrix adhesion by silencing mRNA targets. Adhesion is controlled by complex interactions between many types of molecules coded by mRNAs. This is crucial for keeping together the layers of the skin and for regenerating the skin after wounding.
Lalitha Thiagarajan +10 more
wiley +1 more source
Memetic Artificial Bee Colony Algorithm for Large-Scale Global Optimization
, 2012 Memetic computation (MC) has emerged recently as a new paradigm of efficient algorithms for solving the hardest optimization problems. On the other hand, artificial bees colony (ABC) algorithms demonstrate good performances when solving continuous and ...
Brest, Janez +3 more
core +1 more source
FEBS Letters, EarlyView.Spot‐14 and Spot‐14R play distinct roles in regulating metabolism in brown and beige adipocytes. While both influence lipid and glucose pathways, Spot‐14 uniquely controls thermogenic gene expression. This dual regulation balances energy storage and heat production, highlighting potential therapeutic targets for obesity and metabolic disorders. Spot 14
Lidia Itzel Castro‐Rodríguez +3 more
wiley +1 more source
Efficient Computation of Fitness Function for Evolutionary Clustering
Mendel, 2019 Evolutionary algorithms (EAs) are random search heuristics which can solve various optimization problems. There are plenty of papers describing different approaches developed to apply evolutionary algorithms to the clustering problem, although none of ...
Sergey Muravyov +3 more
doaj +1 more source
Autophagy in cancer and protein conformational disorders
FEBS Letters, EarlyView.Autophagy plays a crucial role in numerous biological processes, including protein and organelle quality control, development, immunity, and metabolism. Hence, dysregulation or mutations in autophagy‐related genes have been implicated in a wide range of human diseases.
Sergio Attanasio
wiley +1 more source
Evolutionary multiobjective optimization: open research areas and some challenges lying ahead
Complex & Intelligent Systems, 2019 Evolutionary multiobjective optimization has been a research area since the mid-1980s, and has experienced a very significant activity in the last 20 years. However, and in spite of the maturity of this field, there are still several important challenges
Carlos A. Coello Coello +4 more
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