Abstract: Genetic algorithm is a commonly used bio-heuristic optimization algorithm in machine learning, with inherent hidden parallelism and good global optimization capability. In this paper, ...

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 ...

The Njord Centre, Department of Physics, University of Oslo, Sem Sælands vei 24, NO-0316 Oslo, Norway ...

Abstract: Combining the lowest horizontal line algorithm with defect constraints and adaptive genetic algorithm to optimize the layout of rectangular parts with internal defective plates. The adaptive ...

GARFfield is a multi-platform, multi-objective parallel hybrid genetic algorithm (GA) / conjugate-gradient (CG) based force field optimization framework. It enables first-principles-based force fields ...

Researchers tested phononic nanomaterials designed with an automated genetic algorithm that responded to light pulses with controlled vibrations. This work may help in the development of ...

An investigation of genetic algorithms was conducted varying the population size, probability of mutation, probability of random selection, percentage retained, fitness functions, and selection ...

This research was supported by the MIT-IBM Watson AI Lab, Army Research Office (ARO) Grant W911NF-17-1-0384, and NIH Grants P41EB027062 and U01 EB014976. E.K. acknowledges support from NSF Graduate ...