Work

Improved Grey Wolf Optimization Algorithm for Constrained Mechanical Design Problems

Year: 2016

Type: article

Abstract: An improved grey wolf optimization (IGWO) algorithm is proposed for solving constrained mechanical design problems in this paper. In proposed IGWO algorithm, a novel nonlinearly update equation of convergence factor based on sines function is presented to balance the exploration ability and exploitation ability. The feasibility-based rules based on tournament selection was introduced to handle constrains. Simulation results and comparisons with other state-of-the-art algorithms using three constrained mechanical design problems are provided.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.851.553

Authors: Jian Chun Yang, Wen Long

Institution: Guizhou University of Finance and Economics

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, National Ethnic Affairs Commission of the People's Republic of China

OpenAlex ID: W2512048131

FWCI: 1.923

Cites:

Cited by: 22

Related to: 10