This study focuses on the optimization analysis of crop cultivation in mountainous villages using genetic algorithm and Monte Carlo simulation, aiming to formulate the optimal crop cultivation ...

Inspired by the evolution of biological systems, genetic algorithms have been applied to generate solutions for optimization problems in a variety of scientific and engineering disciplines. For a ...

Andrew Horner, James Beauchamp, Lippold Haken, Machine Tongues XVI: Genetic Algorithms and Their Application to FM Matching Synthesis, Computer Music Journal, Vol. 17, No. 4 (Winter, 1993), pp. 17-29 ...

This study proposes a relatively simple computational model of organizational evolution based on the genetic algorithm. The model includes three organizational processes: variation, adaptation, and ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Building an integrated "source-grid-load-storage" system (hereinafter referred to as the integrated system) in areas rich in ...

This important study characterises the morphogenesis of cortical folding in the ferret and human cerebral cortex using complementary physical and computational modelling. Notably, these approaches are ...

Yan Zhu and Weixing Cao's study presents a phenotyping robot that enhances crop trait monitoring, integrating multisensor data for sustainable agriculture.

This paper performs a valuable critical reassessment of anatomical and functional data, proposing a reclassification of the mouse visual cortex in which almost all the higher visual areas are ...

One of the themes investors can no longer afford to ignore is the shift toward a circular economy – a structural transformation of how we design, produce, use and reuse resources.