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The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

Abstract: This paper introduces triangulation theory into genetic algorithm and with which, the optimization problem will be translated into a fixed point problem. An improved genetic algorithm is ...

PyGAD is an open-source, easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch, and it can optimize both ...

Multilayer medium is one of the most studied objects in an electromagnetic field. In this paper, the problem of genetic algorithm design for multilayer microwave absorbing materials is studied. By ...

Swimming microorganisms and migrating cells have developed various strategies in order to move in nutrient-rich or other chemical environments. We apply a genetic algorithm to the internal ...