Abstract: Genetic algorithms (GAs) have been used to evolve optimal/sub-optimal solutions of many problems. When using GAs for evolving solutions, often fitness evaluation is the most computationally ...

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...

Markers of a new mechanism for cell death, called karyoptosis, have been found in brains of patients with Alzheimer's disease ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

For a child diagnosed with neuroblastoma-the most common infant cancer, occurring when early nerve cells grow out of control-the path to treatment isn't simple.

Abstract: 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.

A research team optimized liquefied natural gas (LNG) cold energy recovery by comparing working fluids and advanced ...

1 MRC Centre for Neuromuscular Diseases, National Hospital for Neurology and Neurosurgery, UCL Institute of Neurology, London, UK 2 Department of Molecular Neuroscience, UCL Institute of Neurology, ...

In this paper, a multidisciplinary design optimization (MDO) approach of a solid propellant kick rocket motor is considered. A genetic algorithm optimization method has been used. The optimized kick ...

Use these skills and tools to make the most of it. by Antonio Nieto-Rodriguez Quietly but powerfully, projects have displaced operations as the economic engine of our ...

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