Title :
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
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;
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
DOI :
10.1109/CCDC.2010.5498438