Work

An Improved Constrained Engineering Optimization Design Algorithm

Year: 2014

Type: article

Abstract: Many engineering optimization problems can be state as function optimization with constrained, intelligence optimization algorithm can solve these problems well. Particle Swarm Optimization (PSO) algorithm was developed under the inspiration of behavior laws of bird flocks, fish schools and human communities. In this paper, aim at the disadvantages of standard Particle Swarm Optimization algorithm like being trapped easily into a local optimum, we improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. The new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. Experiment results reveal that the proposed algorithm can find better solutions when compared to other heuristic methods and is a powerful optimization algorithm for engineering optimization problems.

Source: Indonesian Journal of Electrical Engineering and Computer Science

DOI: 10.11591/ijeecs.v12.i11.pp7079-7978

Authors: Yuxin Sun, Qinghua Wu, Xuesong Yan

Institutions: Wuhan Institute of Technology, China University of Geosciences

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W2074032294

FWCI: 0.245

Cites:

Cited by: 2

Related to: 10