A Unity based implementation of advanced evolutionary algorithms for discovering mathematical expressions from data enhanced with neural network guidance and multi objective optimization.

ABSTRACT: The equity market is known for its uncertainty and randomness. While the market and the participating traders may seem like independent entities in their own right, but it is the foray of ...

Abstract: As the complexity of integrated circuit (IC) design continues to increase, electronic design automation (EDA) tools play an increasingly critical role in the chip design process. Cloud ...

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 ...

Collaborative research defines a novel approach to understanding how certain proteins called transcription factors determine which genetic programs will drive cell growth and maturation. The method, ...

ABSTRACT: Systematic effort dedicated to the exploration of feasible ways how to permanently come up with even more space-efficient implementation of digital circuits based on conventional CMOS ...

Researchers have developed a new technology that improves the precision and integration density of synthetic genetic circuits. Professor Jongmin Kim's research team at POSTECH developed a new ...

The research team led by Professor Jongmin Kim from the Department of Life Sciences at POSTECH, along with graduate students Hyunseop Goh and Seungdo Choi, has successfully developed the 'Synthetic ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

ATHENS, Ga. — It sounds like science fiction: a simple supplement that can help override your genetic programming. Yet a new study from the University of Georgia suggests this might not be far from ...

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