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 ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

As quantum-inspired methods enter the AI arena, companies like Dynex are developing alternatives to mainstream LLMs. What ...

Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...

A {MATLAB} platform for evolutionary multi-objective optimization ... differential evolution, particle swarm optimization, memetic algorithm, estimation of distribution algorithm, and surrogate model ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

However, the integration of optimization algorithms and computer software has significantly reduced the research and development cycle. The internal structure of traditional straight-beam-rib wings is ...

Guangdong Provincial Key Laboratory of Nanophotonic Manipulation, Institute of Nanophotonics, College of Physics and Optoelectronic Engineering, Jinan University, Guangzhou 511443, China ...

Multi-fidelity optimization algorithms are a solution to alleviate this computational cost of optimizing hyperparameters of Deep Learning models. In this scope, we propose GAMF2O, a new multi-fidelity ...