Picture a trader staring at a screen during a volatile market session. Prices move fast. The news is loud. Every insti ...

More than 3,000 genetic variants influence a person’s susceptibility to weight gain. That inherited risk has become even more ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it takes for cells to behave in desired ways—for example, getting them to produce ...

Abstract: The uncertain capacitated arc routing problem (UCARP) is an important combinatorial optimization problem with many applications in the real world. Genetic programming hyper-heuristic has ...

hal-cgp is an extensible pure Python library implementing Cartesian genetic programming to represent, mutate and evaluate populations of individuals encoding symbolic expressions targeting ...

Gene Expression Programming (GEP) is a popular and established evolutionary algorithm for automatic generation of computer programs and mathematical models. It has found wide applications in symbolic ...

Abstract: Genetic variation operators in grammar-guided genetic programming are fundamental to guide the evolutionary process in search and optimization problems. However, they show some limitations, ...

Encoding information in DNA has long seemed like a promising way to secure data for the long term, but so far it has required an expert touch. It turns out that you don’t need to be a scientist to ...

In the age of technological advancement, the parallel between human programming and computer code has sparked a fascinating debate. Are we, as humans, programmed in a manner akin to how computers are ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...