Work

System Parameter Optimization based on Genetic Algorithm

Year: 2024

Type: article

Abstract: Genetic algorithm is an algorithm based on the coding strategy and propagation principle of biological evolution. It constructs a universal framework suitable for solving complex system optimization problems. The algorithm is unique in its independence for specific application areas and strong adaptability to different problem types, making it able to effectively deal with extremely challenging problems. Genetic algorithm is especially suitable for global optimization problems and has the ability to jump out of the local optimal solution and search for the global optimal solution. In addition, it supports the definition of complex fitness evaluation functions and can impose constraints on the search space of variables.

Source: International Journal of Mechanical and Electrical Engineering

DOI: 10.62051/ijmee.v2n3.02

Author: Haoya Hu

Institution: Tianjin University of Technology and Education

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4399160672

FWCI: 0.937

Cites: 4

Cited by: 9

Related to: 10