An Particle Swarm Optimization to Alloy Tensile Organization Evolution

Abstract:

A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is outlined, and an implementation of one of the paradigms is discussed. Using g¢/g ordered from a passage in the interface of the atom spread to another channel to analyze g raft form of fancies of ordered the width of the matrix channel with changes, thinks a photograph of the raft form at high temperatures of element diffusion occur. The relationships between particle swarm optimization and both artificial life and genitive algorithms are described. But the high temperature pull/pressure creep during different orientations of g¢ phase happen, the rate of different raft form reason and in different orientations of single crystal alloy phase during the microstructure evolution ordered g solute elements of the directional migration patterns are still unclear.

• Periodical: Applied Mechanics and Materials (Volumes 644-650)
• Pages: 1510-1513
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.644-650.1510
• Online since: September 2014
• Authors: Lei Meng*
• Keywords: Algorithm (GA), Model, Organization Evolution, Particle Swarms, PSO

References

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[2] Riccardo Poli, James Kennedy, Tim Blackwell: Swarm Intelligence, 2007, pp.33-57.

[3] E.J.W. Boers et al. (Eds. ) EvoWorkshop 2001, LNCS 2037, pp.120-129.