Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The accurate treatment of many-unpaired-electron systems remains a central challenge ...

Genetic Programming (GP) is a type of evolutionary algorithm and a subset of machine learning. It automatically evolves computer programs to solve complex problems, drawing inspiration from the ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

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Abstract: The Cartesian genetic programming algorithm is a method of generating images using genetic rules. The basic idea behind it is to create a random “gene” population, and then combine them into ...

Besides, as all modeling heavily depends on volume and accuracy of measured data from a data sheet, it is of great significance to undertake reasonable optimization on data samples rather than only ...