platform for evolutionary multi-objective optimization ... algorithm SADE-AMSS, add three expensive multi-objective evolutionary algorithms DISK, DISKplus, and DRL-SAEA, add a sparse multi-objective ...

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

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...

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 ...

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational ... algorithm with ...

Both of these two algorithms have a fixed convergence time and certain robustness. Additionally, this paper utilizes the penalty function approach to handle time-varying optimization problems with ...

The Python Binary Optimization Compiler Script is a powerful command-line tool designed to provide performance optimization and code protection for Python scripts. It compiles Python code into native ...

From a technical perspective, supervised learning can be subdivided into classification and regression algorithms. Classification algorithms ... that this approach performs reliably in ...