There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

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 ...

Want a bespoke baby? Check the beauty, brains, or brawn boxes on the embryo order form. Genetic tinkering is no longer science fiction — it’s a market without legal guidelines or societal buy-in. But ...

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 ...

Abstract: Genetic programming (GP) has been widely applied to evolve scheduling heuristics for dynamic flexible job shop scheduling (DFJSS). However, the evaluation of GP individuals is ...

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, ...

A collaborative study published in Forest Ecosystems, led by researchers from Beijing Forestry University and the University of British Columbia (Canada), presents groundbreaking methods to ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...