To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

People often compare the genome to a computer's program, with the cell using its genetic code to process environmental inputs and produce appropriate responses. Subscribe to our newsletter for the ...

Figure 1. Conceptual visualization of additive manufacturing-enabled IVF workflows used in advanced embryo screening. Anthony Palumbo and Charles Goulding examine how additive manufacturing is ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...

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

OptGenFlow is an interactive and educational application specifically designed to help users visually understand the workings and mechanisms of genetic algorithms (GAs). Genetic algorithms are a type ...

Abstract: Genetic algorithms have been widely used in intelligent test paper generation systems. However, traditional genetic algorithms cannot ensure that the difficulty of test questions is normally ...