Abstract: As the counterpart to conventional reliability optimization problems (ROP), the cost minimization reliability optimization problem (CMROP) plays a critical role within the domain of ROPs.

Facility allocation plays a crucial role in modern urban planning and design. However, the allocation of various facilities in a reasonable manner is a complex problem involving high-dimensional multi ...

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 ...

When the Witness Is an Algorithm: The Use of AI-Generated Avatars in Court Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations ...

This workshop on Engineering Design Optimization using MATLAB® and Python™ addresses the shape optimization of mechanical components for strength. Python ...

This paper describes a novel, system-level design methodology based on a genetic algorithm (GA) using freeform geometries for microelectromechanical systems (MEMS) devices. The proposed method can ...

Abstract: This paper presents an optimization approach using genetic algorithms to improve the handling and ride comfort of a quarter car model on different terrains. The suspension settings are ...

College of Aircraft Engineering, Nanchang Hangkong University, Nanchang, China. Since time immemorial, achieving high performance, structural lightweight, and cost-effectiveness of aircraft has been a ...

ABSTRACT: With the advent of the 5G and future 6G, base stations will be used as station controllers. The antenna systems are networked and equipped with a processor to optimize the detection of ...

Genetic Algorithms (GAs) are a class of optimization algorithms inspired by the process of natural selection and evolution. They are used to find optimal solutions to complex problems by mimicking the ...

When applying machine learning to financial markets most quantitative research focus on optimization algorithms for user defined features. This approach raises two issues. One is that the user needs ...