Solving pressure vessel design problems by an effective global harmony search algorithm

Author

Gao, Liqun ; Zou, Dexuan ; Ge, Yanfeng ; Jin, Wenjing

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2010

fDate

26-28 May 2010

Firstpage

4031

Lastpage

4035

Abstract

We use an effective global harmony search algorithm (EGHS) to solve two kinds of pressure vessel design problems. In general, the two problems are formulated as mixed-integer non-linear programming problems with several constraints. The EGHS combines harmony search algorithm (HS) with concepts from the swarm intelligence of particle swarm optimization algorithm (PSO) to solve the two optimization problems. The EGHS algorithm has been applied to two typical problems with results better than previously reported. The results have demonstrated that the EGHS has strong convergence and capacity of space exploration on solving pressure vessel design problems.

Keywords

artificial intelligence; design engineering; integer programming; nonlinear programming; particle swarm optimisation; pressure vessels; search problems; structural engineering computing; EGHS; PSO; global harmony search algorithm; mixed-integer nonlinear programming; particle swarm optimization algorithm; pressure vessel design; swarm intelligence; Acceleration; Algorithm design and analysis; Convergence; Cost function; Evolutionary computation; Genetic algorithms; Heuristic algorithms; Information science; Particle swarm optimization; Power engineering and energy; Convergence; Effective global harmony search algorithm; Harmony search algorithm; Particle swarm optimization algorithm; Pressure vessel design;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498438

Filename

5498438