There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...
This fundamental study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It ...
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...
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 ...
The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...
More sustainable chemical processes require the selection of suitable molecules, which can be supported by computer-aided molecular design (CAMD). CAMD often generates and evaluates molecular ...
In the current PyGAD implementation, the stop_criteria parameter references the fitness function's return value to determine when the desired fitness has been achieved. For example: def ...
Abstract: This paper presents a methodology that leverages a Genetic Algorithm (GA) as an effective tool for flexibly addressing the complex challenge of solving the Optimal Power Flow (OPF) problem ...
Abstract: Evolutionary Algorithms (EAs) are the solution approaches for solving optimization problems using the classical generate-and-test method. These algorithms are widely used by the ...