Abstract: Aiming at the disadvantages of long training time and high model complexity caused by individual bloat in genetic programming, an improved genetic programming algorithm based on bloat ...

We present a GUI-driven and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning research. Our framework, ABL-Unity3D, is built in Unity3D, a game development ...

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 ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The design of coordination compounds with target properties often requires years of ...

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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 ...