Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information

• Published in: Advances in materials science and engineering Vol. 2017; no. 2017; pp. 1 - 12
• Main Authors: Zhang, Li, Sun, Xiaogang, Jia, Huangchao, Wang, Shoubin
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017; Hindawi; Hindawi Limited; Wiley
• Subjects: Algorithms; Computational mathematics; Conjugate gradient method; Efficiency; Engineering; Finite element analysis; Genetic algorithms; Heat transfer; Identification; Industrial equipment; Inverse problems; Methods; Neural networks; Nondestructive testing; Optimization algorithms; Optimization techniques; Partial differential equations; Particle swarm optimization; Steady state; China
• ISSN: 1687-8434; 1687-8442
• DOI: 10.1155/2017/2461498

Addressing the problem of two-dimensional steady-state thermal boundary recognition, a hybrid algorithm of conjugate gradient method and social particle swarm optimization (CGM-SPSO) algorithm is proposed. The global search ability of particle swarm optimization algorithm and local search ability of gradient algorithm are effectively combined, which overcomes the shortcoming that the conjugate gradient method tends to converge to the local solution and relies heavily on the initial approximation of the iterative process. The hybrid algorithm also avoids the problem that the particle swarm optimization algorithm requires a large number of iterative steps and a lot of time. The experimental results show that the proposed algorithm is feasible and effective in solving the problem of two-dimensional steady-state thermal boundary shape.